Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDAmir Salman Avestimehr
Salman Avestimehr
Person information
- affiliation: University of Southern California, Los Angeles, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j76]Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Amir Salman Avestimehr:
Federated Learning for the Internet of Things: Applications, Challenges, and Opportunities. IEEE Internet Things Mag. 5(1): 24-29 (2022)- [j75]Sennur Ulukus
, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Privacy in Retrieval, Computing, and Learning. IEEE J. Sel. Areas Commun. 40(3): 725-728 (2022) - [j74]Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges. IEEE J. Sel. Areas Commun. 40(3): 729-748 (2022) - [j73]Ahmed Roushdy Elkordy, Amir Salman Avestimehr:
HeteroSAg: Secure Aggregation With Heterogeneous Quantization in Federated Learning. IEEE Trans. Commun. 70(4): 2372-2386 (2022) - [j72]Saeid Sahraei, Amir Salman Avestimehr, Ramy E. Ali:
Info-Commit: Information-Theoretic Polynomial Commitment. IEEE Trans. Inf. Forensics Secur. 17: 1698-1708 (2022) - [j71]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Secret Sharing With Applications to Private Distributed Learning. IEEE Trans. Inf. Forensics Secur. 17: 1893-1904 (2022) - [j70]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. IEEE/ACM Trans. Netw. 30(1): 148-161 (2022) - [i158]Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr:
Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits. CoRR abs/2201.03789 (2022) - [i157]Jie Ding, Eric Tramel, Anit Kumar Sahu, Shuang Wu, Salman Avestimehr, Tao Zhang:
Federated Learning Challenges and Opportunities: An Outlook. CoRR abs/2202.00807 (2022) - [i156]Jinhyun So, Kevin Hsieh, Behnaz Arzani, Shadi Noghabi, Salman Avestimehr, Ranveer Chandra:
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. CoRR abs/2202.01267 (2022) - [i155]Christophe Dupuy, Tanya G. Roosta, Leo Long, Clement Chung, Rahul Gupta, Salman Avestimehr:
Learnings from Federated Learning in the Real world. CoRR abs/2202.03925 (2022) - [i154]Gokberk Elmas, Salman Ul Hassan Dar, Yilmaz Korkmaz, Emir Ceyani, Burak Susam, Muzaffer Özbey, Salman Avestimehr, Tolga Çukur:
Federated Learning of Generative Image Priors for MRI Reconstruction. CoRR abs/2202.04175 (2022) - [i153]Huili Chen, Jie Ding, Eric Tramel, Shuang Wu, Anit Kumar Sahu, Salman Avestimehr, Tao Zhang:
Self-Aware Personalized Federated Learning. CoRR abs/2204.08069 (2022) - [i152]Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta:
Federated Learning with Noisy User Feedback. CoRR abs/2205.03092 (2022) - [i151]Romain Cosentino, Anirvan M. Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Theodore L. Willke, Mariano Tepper:
Toward a Geometrical Understanding of Self-supervised Contrastive Learning. CoRR abs/2205.06926 (2022) - 2021
- [j69]Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat:
Coded Computing for Low-Latency Federated Learning Over Wireless Edge Networks. IEEE J. Sel. Areas Commun. 39(1): 233-250 (2021) - [j68]Jinhyun So, Basak Güler, Amir Salman Avestimehr:
Byzantine-Resilient Secure Federated Learning. IEEE J. Sel. Areas Commun. 39(7): 2168-2181 (2021) - [j67]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Lagrange Coded Computing. IEEE J. Sel. Areas Inf. Theory 2(1): 283-295 (2021) - [j66]Saeid Sahraei, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Interactive Verifiable Polynomial Evaluation. IEEE J. Sel. Areas Inf. Theory 2(1): 317-325 (2021) - [j65]Chien-Sheng Yang, Amir Salman Avestimehr:
Coded Computing for Secure Boolean Computations. IEEE J. Sel. Areas Inf. Theory 2(1): 326-337 (2021) - [j64]Jinhyun So, Basak Güler, Amir Salman Avestimehr:
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. IEEE J. Sel. Areas Inf. Theory 2(1): 441-451 (2021) - [j63]Jinhyun So, Basak Güler, Amir Salman Avestimehr:
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. IEEE J. Sel. Areas Inf. Theory 2(1): 479-489 (2021) - [j62]Pulkit Grover, Viveck R. Cadambe, Sennur Ulukus, Stark C. Draper, Salman Avestimehr, Osvaldo Simeone:
Guest Editorial for Special Issue on Coded Computing. IEEE J. Sel. Areas Inf. Theory 2(3): 813 (2021) - [j61]Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. IEEE J. Sel. Areas Inf. Theory 2(3): 867-878 (2021) - [j60]Qian Yu, Amir Salman Avestimehr:
Coded Computing for Resilient, Secure, and Privacy-Preserving Distributed Matrix Multiplication. IEEE Trans. Commun. 69(1): 59-72 (2021) - [j59]Ahmed Roushdy Elkordy, Songze Li, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Compressed Coded Distributed Computing. IEEE Trans. Commun. 69(5): 2773-2783 (2021) - [j58]Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. IEEE Trans. Inf. Forensics Secur. 16: 249-261 (2021) - [j57]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Edge Computing in the Dark: Leveraging Contextual-Combinatorial Bandit and Coded Computing. IEEE/ACM Trans. Netw. 29(3): 1022-1031 (2021) - [c130]Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr:
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021: 4150-4159 - [c129]Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. ISIT 2021: 1206-1211 - [c128]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Privacy-Preserving Coded Computing. ISIT 2021: 1865-1870 - [c127]Alexander Poylisher, Andrzej Cichocki, K. Guo, J. Hunziker, Latha A. Kant, Bhaskar Krishnamachari, Salman Avestimehr, Murali Annavaram:
Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs. MILCOM 2021: 102-107 - [c126]Tuo Zhang, Chaoyang He, Tianhao Ma, Lei Gao, Mark Ma, Salman Avestimehr:
Federated Learning for Internet of Things. SenSys 2021: 413-419 - [c125]Pradipta Ghosh, Quynh Nguyen, Pranav K. Sakulkar, Jason A. Tran, Aleksandra Knezevic, Jiatong Wang, Zhifeng Lin, Bhaskar Krishnamachari, Murali Annavaram, Salman Avestimehr:
Jupiter: a networked computing architecture. UCC Companion 2021: 28:1-28:8 - [i150]Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
List-Decodable Coded Computing: Breaking the Adversarial Toleration Barrier. CoRR abs/2101.11653 (2021) - [i149]Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr:
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers. CoRR abs/2102.03161 (2021) - [i148]Chaoyang He, Keshav Balasubramanian, Emir Ceyani, Yu Rong, Peilin Zhao, Junzhou Huang, Murali Annavaram, Salman Avestimehr:
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks. CoRR abs/2104.07145 (2021) - [i147]Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr:
FedNLP: A Research Platform for Federated Learning in Natural Language Processing. CoRR abs/2104.08815 (2021) - [i146]Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr:
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks. CoRR abs/2106.02743 (2021) - [i145]Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr:
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. CoRR abs/2106.03328 (2021) - [i144]Tuo Zhang, Chaoyang He, Tianhao Ma, Mark Ma, Salman Avestimehr:
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection. CoRR abs/2106.07976 (2021) - [i143]Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu:
A Field Guide to Federated Optimization. CoRR abs/2107.06917 (2021) - [i142]Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram:
Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. CoRR abs/2107.12958 (2021) - [i141]Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges. CoRR abs/2108.00026 (2021) - [i140]Ahmed Roushdy Elkordy, Saurav Prakash, Amir Salman Avestimehr:
Basil: A Fast and Byzantine-Resilient Approach for Decentralized Training. CoRR abs/2109.07706 (2021) - [i139]Mahdi Soleymani, Ramy E. Ali, Hessam Mahdavifar, Amir Salman Avestimehr:
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems. CoRR abs/2109.09868 (2021) - [i138]Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr:
LightSecAgg: Rethinking Secure Aggregation in Federated Learning. CoRR abs/2109.14236 (2021) - [i137]Yahya H. Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Salman Avestimehr:
FairFed: Enabling Group Fairness in Federated Learning. CoRR abs/2110.00857 (2021) - [i136]Yue Niu, Ramy E. Ali, Salman Avestimehr:
AsymML: An Asymmetric Decomposition Framework for Privacy-Preserving DNN Training and Inference. CoRR abs/2110.01229 (2021) - [i135]Jinhyun So, Ramy E. Ali, Basak Güler, Amir Salman Avestimehr:
Secure Aggregation for Buffered Asynchronous Federated Learning. CoRR abs/2110.02177 (2021) - [i134]Chaoyang He, Zhengyu Yang, Erum Mushtaq, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr:
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision. CoRR abs/2110.02470 (2021) - [i133]Sunwoo Lee, Tuo Zhang, Chaoyang He, Salman Avestimehr:
Layer-wise Adaptive Model Aggregation for Scalable Federated Learning. CoRR abs/2110.10302 (2021) - [i132]Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Salman Avestimehr:
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities. CoRR abs/2111.07494 (2021) - [i131]Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan, Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr:
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks. CoRR abs/2111.11066 (2021) - [i130]Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr:
SPIDER: Searching Personalized Neural Architecture for Federated Learning. CoRR abs/2112.13939 (2021) - [i129]Jinhyun So, Ramy E. Ali, Basak Guler, Jiantao Jiao, Salman Avestimehr:
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning. IACR Cryptol. ePrint Arch. 2021: 771 (2021) - 2020
- [j56]Songze Li, Salman Avestimehr:
Coded Computing. Found. Trends Commun. Inf. Theory 17(1): 1-148 (2020) - [j55]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding. IEEE Trans. Inf. Theory 66(3): 1920-1933 (2020) - [j54]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing for Distributed Graph Analytics. IEEE Trans. Inf. Theory 66(10): 6534-6554 (2020) - [j53]Basak Güler, Amir Salman Avestimehr, Antonio Ortega:
TACC: Topology-Aware Coded Computing for Distributed Graph Processing. IEEE Trans. Signal Inf. Process. over Networks 6: 508-525 (2020) - [c124]Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. Financial Cryptography 2020: 114-134 - [c123]Hema Venkata Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Using Coded Redundancy for Lowering Latency Variation in Distributed Image Classification Systems. ICDCS 2020: 453-463 - [c122]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computing in Unknown Environment via Online Learning. ISIT 2020: 185-190 - [c121]Songze Li, Mingchao Yu, Chien-Sheng Yang, Amir Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
PolyShard: Coded Sharding Achieves Linearly Scaling Efficiency and Security Simultaneously. ISIT 2020: 203-208 - [c120]Qian Yu, Amir Salman Avestimehr:
Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier. ISIT 2020: 245-250 - [c119]Saurav Prakash, Amirhossein Reisizadeh, Ramtin Pedarsani, Amir Salman Avestimehr:
Hierarchical Coded Gradient Aggregation for Learning at the Edge. ISIT 2020: 2616-2621 - [c118]Saeid Sahraei, Mohammad Ali Maddah-Ali, Salman Avestimehr:
Interactive Verifiable Polynomial Evaluation. ISIT 2020: 2843-2848 - [c117]Chien-Sheng Yang, Amir Salman Avestimehr:
Coded Computing for Boolean Functions. ISITA 2020: 141-145 - [c116]Chaoyang He, Murali Annavaram, Salman Avestimehr:
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge. NeurIPS 2020 - [c115]Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Salman Avestimehr, Mahdi Soltanolkotabi:
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. NeurIPS 2020 - [c114]Jinhyun So, Basak Güler, Salman Avestimehr:
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. NeurIPS 2020 - [i128]Qian Yu, Amir Salman Avestimehr:
Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the "Cubic" Barrier. CoRR abs/2001.05101 (2020) - [i127]Chien-Sheng Yang, Amir Salman Avestimehr:
Coded Computing for Boolean Functions. CoRR abs/2001.08720 (2020) - [i126]Saeid Sahraei, Salman Avestimehr:
InfoCommit: Information-Theoretic Polynomial Commitment and Verification. CoRR abs/2002.00559 (2020) - [i125]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. CoRR abs/2002.04156 (2020) - [i124]Chaoyang He, Murali Annavaram, Salman Avestimehr:
FedNAS: Federated Deep Learning via Neural Architecture Search. CoRR abs/2004.08546 (2020) - [i123]Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Amir Salman Avestimehr, Mahdi Soltanolkotabi:
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. CoRR abs/2006.10581 (2020) - [i122]Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Amir Salman Avestimehr, Nageen Himayat:
Coded Computing for Federated Learning at the Edge. CoRR abs/2007.03273 (2020) - [i121]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Privacy-Preserving Distributed Learning in the Analog Domain. CoRR abs/2007.08803 (2020) - [i120]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
Byzantine-Resilient Secure Federated Learning. CoRR abs/2007.11115 (2020) - [i119]Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr:
FedML: A Research Library and Benchmark for Federated Machine Learning. CoRR abs/2007.13518 (2020) - [i118]Chaoyang He, Murali Annavaram, Salman Avestimehr:
Group Knowledge Transfer: Collaborative Training of Large CNNs on the Edge. CoRR abs/2007.14513 (2020) - [i117]Mahdi Soleymani, Hessam Mahdavifar, Amir Salman Avestimehr:
Analog Lagrange Coded Computing. CoRR abs/2008.08565 (2020) - [i116]Ahmed Roushdy Elkordy, Amir Salman Avestimehr:
Secure Aggregation with Heterogeneous Quantization in Federated Learning. CoRR abs/2009.14388 (2020) - [i115]Saurav Prakash, Amir Salman Avestimehr:
Mitigating Byzantine Attacks in Federated Learning. CoRR abs/2010.07541 (2020) - [i114]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning. CoRR abs/2011.01963 (2020) - [i113]Ramy E. Ali, Jinhyun So, Amir Salman Avestimehr:
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks. CoRR abs/2011.05530 (2020) - [i112]Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat:
Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks. CoRR abs/2011.06223 (2020) - [i111]Saeid Sahraei, Salman Avestimehr:
InfoCommit: Information-Theoretic Polynomial Commitment and Verification. IACR Cryptol. ePrint Arch. 2020: 118 (2020) - [i110]Jinhyun So, Basak Guler, Amir Salman Avestimehr:
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning. IACR Cryptol. ePrint Arch. 2020: 167 (2020)
2010 – 2019
- 2019
- [j52]Navid Naderializadeh, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Cache-Aided Interference Management in Wireless Cellular Networks. IEEE Trans. Commun. 67(5): 3376-3387 (2019) - [j51]Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar, Amir Salman Avestimehr:
An Approximation Algorithm for Optimal Clique Cover Delivery in Coded Caching. IEEE Trans. Commun. 67(7): 4683-4695 (2019) - [j50]Qian Yu, Mohammad Ali Maddah-Ali, Amir Salman Avestimehr:
Characterizing the Rate-Memory Tradeoff in Cache Networks Within a Factor of 2. IEEE Trans. Inf. Theory 65(1): 647-663 (2019) - [j49]Aamir Anis, Aly El Gamal, Amir Salman Avestimehr, Antonio Ortega:
A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning. IEEE Trans. Inf. Theory 65(4): 2322-2342 (2019) - [j48]Mehrdad Kiamari, Amir Salman Avestimehr:
Capacity Region of the Symmetric Injective K-User Deterministic Interference Channel. IEEE Trans. Inf. Theory 65(7): 4010-4022 (2019) - [j47]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Coded Computation Over Heterogeneous Clusters. IEEE Trans. Inf. Theory 65(7): 4227-4242 (2019) - [j46]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Communication-Aware Scheduling of Serial Tasks for Dispersed Computing. IEEE/ACM Trans. Netw. 27(4): 1330-1343 (2019) - [j45]Navid Azizan Ruhi, Farshad Lahouti, Amir Salman Avestimehr, Babak Hassibi:
Distributed Solution of Large-Scale Linear Systems via Accelerated Projection-Based Consensus. IEEE Trans. Signal Process. 67(14): 3806-3817 (2019) - [c113]Qian Yu, Songze Li, Netanel Raviv, Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy. AISTATS 2019: 1215-1225 - [c112]Basak Güler, Ajinkya Jayawant, Amir Salman Avestimehr, Antonio Ortega:
Robust Graph Signal Sampling. ICASSP 2019: 7520-7524 - [c111]Bagak Güler, Amir Salman Avestimehr, Antonio Ortega:
A Topology-aware Coding Framework for Distributed Graph Processing. ICASSP 2019: 8182-8186 - [c110]Qian Yu, Amir Salman Avestimehr:
Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation. ISIT 2019: 1102-1106 - [c109]Saeid Sahraei, Amir Salman Avestimehr:
INTERPOL: Information Theoretically Verifiable Polynomial Evaluation. ISIT 2019: 1112-1116 - [c108]Netanel Raviv, Qian Yu, Jehoshua Bruck, Salman Avestimehr:
Download and Access Trade-offs in Lagrange Coded Computing. ISIT 2019: 1787-1791 - [c107]Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Fitting ReLUs via SGD and Quantized SGD. ISIT 2019: 2469-2473 - [c106]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely Coded Computing. ISIT 2019: 2798-2802 - [c105]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
Tree Gradient Coding. ISIT 2019: 2808-2812 - [c104]Basak Güler, Amir Salman Avestimehr, Antonio Ortega:
Privacy-Aware Distributed Graph-Based Semi-Supervised Learning. MLSP 2019: 1-6 - [c103]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely-Throughput Optimal Coded Computing over Cloud Networks. MobiHoc 2019: 301-310 - [c102]Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded State Machine - Scaling State Machine Execution under Byzantine Faults. PODC 2019: 150-152 - [c101]Krishna Giri Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram:
Slack squeeze coded computing for adaptive straggler mitigation. SC 2019: 14:1-14:16 - [i109]Saeid Sahraei, Amir Salman Avestimehr:
INTERPOL: Information Theoretically Verifiable Polynomial Evaluation. CoRR abs/1901.03379 (2019) - [i108]Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr:
Fitting ReLUs via SGD and Quantized SGD. CoRR abs/1901.06587 (2019) - [i107]Jinhyun So, Basak Guler, Amir Salman Avestimehr, Payman Mohassel:
CodedPrivateML: A Fast and Privacy-Preserving Framework for Distributed Machine Learning. CoRR abs/1902.00641 (2019) - [i106]Amirhossein Reisizadeh, Saurav Prakash, Ramtin Pedarsani, Amir Salman Avestimehr:
CodedReduce: A Fast and Robust Framework for Gradient Aggregation in Distributed Learning. CoRR abs/1902.01981 (2019) - [i105]Chien-Sheng Yang, Ramtin Pedarsani, Amir Salman Avestimehr:
Timely-Throughput Optimal Coded Computing over Cloud Networks. CoRR abs/1904.05522 (2019) - [i104]Krishna Narra, Zhifeng Lin, Mehrdad Kiamari, Salman Avestimehr, Murali Annavaram:
Distributed Matrix Multiplication Using Speed Adaptive Coding. CoRR abs/1904.07098 (2019) - [i103]Krishna Giri Narra, Zhifeng Lin, Ganesh Ananthanarayanan, Salman Avestimehr, Murali Annavaram:
Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding. CoRR abs/1904.12222 (2019) - [i102]Qian Yu, Amir Salman Avestimehr:
Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation. CoRR abs/1904.13206 (2019)