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ORCIDSeyyedali Hosseinalipour
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2020 – today
- 2025
[j39]Kasra Borazjani, Naji Khosravan, Leslie Ying, Seyyedali Hosseinalipour:
Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities. IEEE Trans. Medical Imaging 44(1): 556-573 (2025)- 2024
- [j38]Dinh C. Nguyen, Viet Quoc Pham, Seyyedali Hosseinalipour, Zehui Xiong, Tuan M. Hoang Trong, Yonina C. Eldar:
Guest Editorial: Federated Learning for Industrial Internet of Things. IEEE Internet Things Mag. 7(5): 12-13 (2024) - [j37]Myeung Suk Oh
, Anindya Bijoy Das, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton:
A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO. IEEE J. Sel. Areas Commun. 42(2): 373-388 (2024) - [j36]Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton:
Cooperative Federated Learning Over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. IEEE J. Sel. Areas Commun. 42(5): 1080-1096 (2024) - [j35]Dong-Jun Han, Wenzhi Fang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton:
Orchestrating Federated Learning in Space-Air- Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover. IEEE J. Sel. Areas Commun. 42(12): 3505-3520 (2024) - [j34]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton:
Delay-Aware Hierarchical Federated Learning. IEEE Trans. Cogn. Commun. Netw. 10(2): 674-688 (2024) - [j33]Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton:
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. IEEE Trans. Cogn. Commun. Netw. 10(3): 1011-1025 (2024) - [j32]Zhan-Lun Chang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton:
Asynchronous Multi-Model Dynamic Federated Learning Over Wireless Networks: Theory, Modeling, and Optimization. IEEE Trans. Cogn. Commun. Netw. 10(5): 1989-2004 (2024) - [j31]Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Christopher G. Brinton:
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning Without Labels. IEEE Trans. Cogn. Commun. Netw. 10(6): 2252-2268 (2024) - [j30]Zhang Liu, Lianfen Huang, Zhibin Gao, Manman Luo, Seyyedali Hosseinalipour, Huaiyu Dai:
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling Over Dynamic Vehicular Clouds. IEEE Trans. Netw. Serv. Manag. 21(4): 4226-4242 (2024) - [j29]Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang:
Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks. IEEE/ACM Trans. Netw. 32(1): 222-237 (2024) - [j28]Payam Abdisarabshali, Minghui Liwang, Amir Rajabzadeh, Mahmood Ahmadi, Seyyedali Hosseinalipour:
Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks Over Vehicular Clouds With Dynamic Resources. IEEE/ACM Trans. Netw. 32(1): 475-490 (2024) - [j27]Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton:
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. IEEE/ACM Trans. Netw. 32(5): 4365-4381 (2024) - [j26]Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour, Xiaoyu Xia, Zhipeng Cheng, Xianbin Wang, Zhenzhen Jiao:
Matching-Based Hybrid Service Trading for Task Assignment Over Dynamic Mobile Crowdsensing Networks. IEEE Trans. Serv. Comput. 17(5): 2597-2612 (2024) - [j25]Zhang Liu, Yifeng Zhao, Seyyedali Hosseinalipour, Zhibin Gao, Lianfen Huang, Huaiyu Dai:
TDRA: A Truthful Dynamic Reverse Auction for DAG Task Scheduling Over Vehicular Clouds. IEEE Trans. Veh. Technol. 73(3): 4337-4351 (2024) - [c33]Seyyedali Hosseinalipour:
Confluence of Random Walks, Interacting Particle Systems, and Distributed Machine Learning: Federated Learning through Crawling over Networks. AAAI Spring Symposia 2024: 296 - [c32]Anurata Prabha Hridi, Rajeev Sahay, Seyyedali Hosseinalipour, Bita Akram:
Revolutionizing AI-Assisted Education with Federated Learning: A Pathway to Distributed, Privacy-Preserving, and Debiased Learning Ecosystems. AAAI Spring Symposia 2024: 297-303 - [c31]Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton:
Cooperative Federated Learning over Hybrid Terrestrial and Non-Terrestrial Networks. ICC 2024: 2992-2997 - [c30]Bingshuo Guo, Minghui Liwang, Fan Yang, Seyyedali Hosseinalipour, Xianbin Wang, Huaiyu Dai:
Real-Time and Low-Overhead Graph Task Scheduling over Vehicular Computing-Assisted Edge Networks. ICC 2024: 4930-4935 - [i67]Junghoon Kim, Taejoon Kim, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton:
Coding for Gaussian Two-Way Channels: Linear and Learning-Based Approaches. CoRR abs/2401.00477 (2024) - [i66]Kasra Borazjani, Naji Khosravan, Leslie Ying, Seyyedali Hosseinalipour:
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities. CoRR abs/2401.03609 (2024) - [i65]Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton:
Rethinking the Starting Point: Enhancing Performance and Fairness of Federated Learning via Collaborative Pre-Training. CoRR abs/2402.02225 (2024) - [i64]Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton:
Decentralized Sporadic Federated Learning: A Unified Methodology with Generalized Convergence Guarantees. CoRR abs/2402.03448 (2024) - [i63]Payam Abdisarabshali, Kwang Taik Kim, Michael Langberg, Weifeng Su, Seyyedali Hosseinalipour:
Dynamic D2D-Assisted Federated Learning over O-RAN: Performance Analysis, MAC Scheduler, and Asymmetric User Selection. CoRR abs/2404.06324 (2024) - [i62]Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Christopher G. Brinton:
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels. CoRR abs/2404.09861 (2024) - [i61]Zhang Liu, Hongyang Du, Junzhe Lin, Zhibin Gao, Lianfen Huang, Seyyedali Hosseinalipour, Dusit Niyato:
DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach. CoRR abs/2406.06986 (2024) - [i60]Dong-Jun Han, Wenzhi Fang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton:
Orchestrating Federated Learning in Space-Air-Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover. CoRR abs/2408.09522 (2024) - [i59]Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton:
Unlocking the Potential of Model Calibration in Federated Learning. CoRR abs/2409.04901 (2024) - [i58]Zhan-Lun Chang, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton:
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction. CoRR abs/2410.05662 (2024) - [i57]Zhang Liu, Hongyang Du, Xiangwang Hou, Lianfen Huang, Seyyedali Hosseinalipour, Dusit Niyato, Khaled Ben Letaief:
Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services. CoRR abs/2411.01458 (2024) - 2023
- [j24]Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang:
Toward Cooperative Federated Learning Over Heterogeneous Edge/Fog Networks. IEEE Commun. Mag. 61(12): 54-60 (2023) - [j23]Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang:
UAV-Assisted Online Machine Learning Over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. IEEE Trans. Netw. Serv. Manag. 20(2): 1847-1865 (2023) - [j22]Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang:
Multi-Edge Server-Assisted Dynamic Federated Learning With an Optimized Floating Aggregation Point. IEEE/ACM Trans. Netw. 31(6): 2682-2697 (2023) - [j21]Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Yuhan Su, Xianbin Wang, Huaiyu Dai:
Graph-Represented Computation-Intensive Task Scheduling Over Air-Ground Integrated Vehicular Networks. IEEE Trans. Serv. Comput. 16(5): 3397-3411 (2023) - [j20]Zhang Liu, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Zhibin Gao, Lianfen Huang:
RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds. IEEE Trans. Veh. Technol. 72(9): 12139-12153 (2023) - [j19]Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, James V. Krogmeier, Christopher G. Brinton:
Dynamic and Robust Sensor Selection Strategies for Wireless Positioning With TOA/RSS Measurement. IEEE Trans. Veh. Technol. 72(11): 14656-14672 (2023) - [c29]Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Mung Chiang, Christopher G. Brinton:
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. MobiHoc 2023: 31-40 - [i56]Su Wang, Seyyedali Hosseinalipour, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Weifeng Su, Mung Chiang:
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks. CoRR abs/2303.08361 (2023) - [i55]Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Christopher G. Brinton, Mung Chiang:
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. CoRR abs/2303.08988 (2023) - [i54]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Christopher G. Brinton, Nicolò Michelusi:
Delay-Aware Hierarchical Federated Learning. CoRR abs/2303.12414 (2023) - [i53]Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton:
Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. CoRR abs/2304.12422 (2023) - [i52]Payam Abdisarabshali, Nicholas Accurso, Filippo Malandra, Weifeng Su, Seyyedali Hosseinalipour:
Synergies Between Federated Learning and O-RAN: Towards an Elastic Virtualized Architecture for Multiple Distributed Machine Learning Services. CoRR abs/2305.02109 (2023) - [i51]Zhan-Lun Chang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton:
Asynchronous Multi-Model Federated Learning over Wireless Networks: Theory, Modeling, and Optimization. CoRR abs/2305.13503 (2023) - [i50]Houyi Qi, Minghui Liwang, Seyyedali Hosseinalipour, Xiaoyu Xia, Zhipeng Cheng, Xianbin Wang, Zhenzhen Jiao:
Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks. CoRR abs/2306.14156 (2023) - [i49]Zhang Liu, Lianfen Huang, Zhibin Gao, Manman Luo, Seyyedali Hosseinalipour, Huaiyu Dai:
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds. CoRR abs/2307.00777 (2023) - [i48]Minghui Liwang, Bingshuo Guo, Zhanxi Ma, Yuhan Su, Seyyedali Hosseinalipour, Xianbin Wang, Huaiyu Dai:
DISCO: Achieving Low Latency and High Reliability in Scheduling of Graph-Structured Tasks over Mobile Vehicular Cloud. CoRR abs/2307.15490 (2023) - [i47]Su Wang, Roberto Morabito, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton:
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. CoRR abs/2311.04350 (2023) - [i46]Dong-Jun Han, Seyyedali Hosseinalipour, David J. Love, Mung Chiang, Christopher G. Brinton:
Cooperative Federated Learning over Ground-to-Satellite Integrated Networks: Joint Local Computation and Data Offloading. CoRR abs/2312.15361 (2023) - 2022
- [j18]Dinh C. Nguyen, Seyyedali Hosseinalipour, David J. Love, Pubudu N. Pathirana, Christopher G. Brinton:
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing. IEEE J. Sel. Areas Commun. 40(12): 3373-3390 (2022) - [j17]Mengyuan Lee, Seyyedali Hosseinalipour, Christopher G. Brinton, Guanding Yu, Huaiyu Dai:
A Fast Graph Neural Network-Based Method for Winner Determination in Multi-Unit Combinatorial Auctions. IEEE Trans. Cloud Comput. 10(4): 2264-2280 (2022) - [j16]Zhibin Gao, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang:
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-Assisted Networks. IEEE Trans. Mob. Comput. 21(10): 3455-3469 (2022) - [j15]Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai:
Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks. IEEE/ACM Trans. Netw. 30(4): 1569-1584 (2022) - [j14]Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Xiaofan He, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan:
Dynamic Interference Management for UAV-Assisted Wireless Networks. IEEE Trans. Wirel. Commun. 21(4): 2637-2653 (2022) - [j13]Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton:
Learning-Based Adaptive IRS Control With Limited Feedback Codebooks. IEEE Trans. Wirel. Commun. 21(11): 9566-9581 (2022) - [c28]Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton:
Can we Generalize and Distribute Private Representation Learning? AISTATS 2022: 11320-11340 - [c27]Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton:
Linear Coding for Gaussian Two-Way Channels. Allerton 2022: 1-8 - [c26]Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton:
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds. CDC 2022: 4680-4687 - [c25]Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CIKM 2022: 3033-3042 - [c24]Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton:
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. GLOBECOM 2022: 492-497 - [c23]David Nickel, Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton:
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity. ICC Workshops 2022: 43-48 - [c22]Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton:
Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. ICC 2022: 5171-5177 - [c21]Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton:
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR 2022 - [i45]Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton:
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? CoRR abs/2202.00280 (2022) - [i44]Seyyedali Hosseinalipour, Su Wang, Nicolò Michelusi, Vaneet Aggarwal, Christopher G. Brinton, David J. Love, Mung Chiang:
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks. CoRR abs/2202.02947 (2022) - [i43]Dinh C. Nguyen, Seyyedali Hosseinalipour, David J. Love, Pubudu N. Pathirana, Christopher G. Brinton:
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing. CoRR abs/2203.09670 (2022) - [i42]Bhargav Ganguly, Seyyedali Hosseinalipour, Kwang Taik Kim, Christopher G. Brinton, Vaneet Aggarwal, David J. Love, Mung Chiang:
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point. CoRR abs/2203.13950 (2022) - [i41]Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton:
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds. CoRR abs/2204.03726 (2022) - [i40]Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton:
Deep Reinforcement Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. CoRR abs/2205.03636 (2022) - [i39]Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Zhipeng Cheng, Xianbin Wang:
Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing. CoRR abs/2206.04354 (2022) - [i38]Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. CoRR abs/2208.01182 (2022) - [i37]Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton:
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. CoRR abs/2208.02856 (2022) - [i36]Zhang Liu, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Zhibin Gao, Lianfen Huang:
RFID: Towards Low Latency and Reliable DAG Task Scheduling over Dynamic Vehicular Clouds. CoRR abs/2208.12568 (2022) - [i35]Minghui Liwang, Seyyedali Hosseinalipour, Zhibin Gao, Zhipeng Cheng, Yuhan Su, Xianbin Wang:
Seamless Service Provisioning for Mobile Crowdsensing: Towards Integrating Forward and Spot Trading Markets. CoRR abs/2210.04410 (2022) - [i34]Payam Abdisarabshali, Seyyedali Hosseinalipour, Minghui Liwang, Amir Rajabzadeh, Mahmood Ahmadi:
Decomposition Theory Meets Reliability Analysis: Processing of Computation-Intensive Dependent Tasks over Vehicular Clouds with Dynamic Resources. CoRR abs/2210.07337 (2022) - [i33]Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton:
Linear Coding for Gaussian Two-Way Channels. CoRR abs/2210.16569 (2022) - [i32]Shahryar Zehtabi, Seyyedali Hosseinalipour, Christopher G. Brinton:
Event-Triggered Decentralized Federated Learning over Resource-Constrained Edge Devices. CoRR abs/2211.12640 (2022) - [i31]Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. CoRR abs/2212.02985 (2022) - 2021
- [j12]Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor:
Fast-Convergent Federated Learning. IEEE J. Sel. Areas Commun. 39(1): 201-218 (2021) - [j11]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations. IEEE J. Sel. Areas Commun. 39(12): 3851-3869 (2021) - [j10]Seyyedali Hosseinalipour, Huaiyu Dai:
A Two-Stage Auction Mechanism for Cloud Resource Allocation. IEEE Trans. Cloud Comput. 9(3): 881-895 (2021) - [j9]Seyyedali Hosseinalipour, Ali Rahmati, Do Young Eun, Huaiyu Dai:
Energy-Aware Stochastic UAV-Assisted Surveillance. IEEE Trans. Wirel. Commun. 20(5): 2820-2837 (2021) - [c20]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. GLOBECOM 2021: 1-6 - [c19]Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton:
Multi-IRS-assisted Multi-Cell Uplink MIMO Communications under Imperfect CSI: A Deep Reinforcement Learning Approach. ICC Workshops 2021: 1-7 - [c18]Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, Christopher G. Brinton, David J. Love:
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach. ICC 2021: 1-6 - [c17]Yuhan Su, Minghui LiWang, Seyyedali Hosseinalipour, Lianfen Huang, Huaiyu Dai:
Optimal Position Planning of UAV Relays in UAV-assisted Vehicular Networks. ICC 2021: 1-6 - [c16]Yuhan Su, Minghui Liwang, Seyyedali Hosseinalipour, Lianfen Huang, Huaiyu Dai:
Cooperative Relaying and Power Control for UAV-Assisted Vehicular Networks with Deep Q-Network. ICCC 2021: 318-323 - [c15]Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton:
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. INFOCOM 2021: 1-10 - [i30]Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton:
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. CoRR abs/2101.00787 (2021) - [i29]Myeung Suk Oh, Seyyedali Hosseinalipour, Taejoon Kim, Christopher G. Brinton, David J. Love:
Channel Estimation via Successive Denoising in MIMO OFDM Systems: A Reinforcement Learning Approach. CoRR abs/2101.10300 (2021) - [i28]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations. CoRR abs/2103.10481 (2021) - [i27]Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang:
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach. CoRR abs/2106.15734 (2021) - [i26]Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. CoRR abs/2109.03350 (2021) - [i25]Junghoon Kim, Seyyedali Hosseinalipour, Andrew C. Marcum, Taejoon Kim, David J. Love, Christopher G. Brinton:
Learning-Based Adaptive IRS Control with Limited Feedback Codebooks. CoRR abs/2112.01874 (2021) - [i24]David Nickel, Frank Po-Chen Lin, Seyyedali Hosseinalipour, Nicolò Michelusi, Christopher G. Brinton:
Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity. CoRR abs/2112.13926 (2021) - 2020
- [j8]Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang:
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. IEEE Commun. Mag. 58(12): 41-47 (2020) - [j7]Minghui LiWang, Seyyedali Hosseinalipour, Zhibin Gao, Yuliang Tang, Lianfen Huang, Huaiyu Dai:
Allocation of Computation-Intensive Graph Jobs Over Vehicular Clouds in IoV. IEEE Internet Things J. 7(1): 311-324 (2020) - [j6]Seyyedali Hosseinalipour, Jiayu Mao, Do Young Eun, Huaiyu Dai:
Prevention and Mitigation of Catastrophic Failures in Demand-Supply Interdependent Networks. IEEE Trans. Netw. Sci. Eng. 7(3): 1710-1723 (2020) - [j5]Seyyedali Hosseinalipour, Jie Wang, Yuanzhe Tian, Huaiyu Dai:
Infection Analysis on Irregular Networks Through Graph Signal Processing. IEEE Trans. Netw. Sci. Eng. 7(3): 1939-1952 (2020) - [j4]Seyyedali Hosseinalipour, Anuj K. Nayak, Huaiyu Dai:
Power-Aware Allocation of Graph Jobs in Geo-Distributed Cloud Networks. IEEE Trans. Parallel Distributed Syst. 31(4): 749-765 (2020) - [j3]Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai:
Interference Avoidance Position Planning in Dual-Hop and Multi-Hop UAV Relay Networks. IEEE Trans. Wirel. Commun. 19(11): 7033-7048 (2020) - [c14]Ali Rahmati, Seyyedali Hosseinalipour, Yavuz Yapici, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan:
Energy-Efficient Beamforming and Power Control for Uplink NOMA in mmWave UAV Networks. GLOBECOM 2020: 1-6 - [c13]Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai:
Optimal Jammer Placement in UAV-assisted Relay Networks. ICC 2020: 1-6 - [c12]Minghui LiWang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai:
Multi-Task Offloading over Vehicular Clouds under Graph-based Representation. ICC 2020: 1-7 - [c11]Minghui LiWang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang:
Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV. INFOCOM Workshops 2020: 604-609 - [c10]Ali Rahmati, Seyyedali Hosseinalipour, Ismail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan:
Lifetime Maximization for UAV-assisted Data Gathering Networks in the Presence of Jamming. SPAWC 2020: 1-5 - [i23]Seyyedali Hosseinalipour, Ali Rahmati, Huaiyu Dai:
Optimal Jammer Placement in UAV-assisted Relay Networks. CoRR abs/2002.10020 (2020) - [i22]Zhibin Gao, Minghui LiWang, Seyyedali Hosseinalipour, Huaiyu Dai, Xianbin Wang:
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