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2020 – today
- 2023
[j180]Stefano Savazzi
, Vittorio Rampa, Sanaz Kianoush, Mehdi Bennis:
An Energy and Carbon Footprint Analysis of Distributed and Federated Learning. IEEE Trans. Green Commun. Netw. 7(1): 248-264 (2023)- [j179]Jin-Hyun Ahn, Mehdi Bennis, Joonhyuk Kang:
Model Compression via Pattern Shared Sparsification in Analog Federated Learning Under Communication Constraints. IEEE Trans. Green Commun. Netw. 7(1): 298-312 (2023) - [j178]Verónica Toro-Betancur, Gopika Premsankar, Chen-Feng Liu, Mariusz Slabicki, Mehdi Bennis, Mario Di Francesco:
Learning How to Configure LoRa Networks With No Regret: A Distributed Approach. IEEE Trans. Ind. Informatics 19(4): 5633-5644 (2023) - [j177]Ju-Hyung Lee, Jihong Park, Mehdi Bennis, Young-Chai Ko:
Integrating LEO Satellites and Multi-UAV Reinforcement Learning for Hybrid FSO/RF Non-Terrestrial Networks. IEEE Trans. Veh. Technol. 72(3): 3647-3662 (2023) - [j176]Ju-Hyung Lee, Hyowoon Seo, Jihong Park, Mehdi Bennis, Young-Chai Ko:
Learning Emergent Random Access Protocol for LEO Satellite Networks. IEEE Trans. Wirel. Commun. 22(1): 257-269 (2023) - [j175]Gilsoo Lee, Walid Saad, Mehdi Bennis, Cheonyong Kim, Minchae Jung:
An Online Framework for Ephemeral Edge Computing in the Internet of Things. IEEE Trans. Wirel. Commun. 22(3): 1992-2007 (2023) - [c202]Andrea Zanella, Sergio Zubelzu, Mehdi Bennis, Martina Capuzzo, Paolo Tarolli:
Internet of Things for Hydrology: Potential and Challenges. WONS 2023: 114-121 - [i254]Zhimin Lu, Yong Xiao, Zijian Sun, Yingyu Li, Guangming Shi, Xianfu Chen, Mehdi Bennis, H. Vincent Poor:
Adversarial Learning for Implicit Semantic-Aware Communications. CoRR abs/2301.11589 (2023) - [i253]Tilahun M. Getu, Walid Saad, Georges Kaddoum, Mehdi Bennis:
Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference. CoRR abs/2302.14702 (2023) - [i252]Luciano Miuccio, Salvatore Riolo, Mehdi Bennis, Daniela Panno:
On Learning Intrinsic Rewards for Faster Multi-Agent Reinforcement Learning based MAC Protocol Design in 6G Wireless Networks. CoRR abs/2302.14765 (2023) - 2022
- [j174]Cheng Chen, Takayuki Nishio, Mehdi Bennis, Jihong Park:
RF-Inpainter: Multimodal Image Inpainting Based on Vision and Radio Signals. IEEE Access 10: 110689-110700 (2022) - [j173]Mohammad Mahdi Azari, Sourabh Solanki, Symeon Chatzinotas, Mehdi Bennis:
THz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-offs. IEEE Commun. Mag. 60(5): 24-30 (2022) - [j172]Christina Chaccour, Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Petar Popovski, Mérouane Debbah:
Seven Defining Features of Terahertz (THz) Wireless Systems: A Fellowship of Communication and Sensing. IEEE Commun. Surv. Tutorials 24(2): 967-993 (2022) - [j171]Christina Chaccour, Mehdi Naderi Soorki, Walid Saad, Mehdi Bennis, Petar Popovski:
Can Terahertz Provide High-Rate Reliable Low-Latency Communications for Wireless VR? IEEE Internet Things J. 9(12): 9712-9729 (2022) - [j170]Abanoub M. Girgis, Hyowoon Seo, Jihong Park, Mehdi Bennis, Jinho Choi:
Predictive Closed-Loop Remote Control Over Wireless Two-Way Split Koopman Autoencoder. IEEE Internet Things J. 9(23): 23285-23301 (2022) - [j169]Chao Zhang, Hang Zou, Samson Lasaulce, Walid Saad, Marios Kountouris, Mehdi Bennis:
Goal-Oriented Communications for the IoT and Application to Data Compression. IEEE Internet Things Mag. 5(4): 58-63 (2022) - [j168]Mahdi Fozi, Ahmad R. Sharafat, Mehdi Bennis:
Fast MIMO Beamforming via Deep Reinforcement Learning for High Mobility mmWave Connectivity. IEEE J. Sel. Areas Commun. 40(1): 127-142 (2022) - [j167]Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji:
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems. IEEE J. Sel. Areas Commun. 40(1): 243-258 (2022) - [j166]Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor:
Guest Editorial Special Issue on Distributed Learning Over Wireless Edge Networks - Part II. IEEE J. Sel. Areas Commun. 40(2): 445-448 (2022) - [j165]George C. Alexandropoulos, Kyriakos Stylianopoulos, Chongwen Huang, Chau Yuen, Mehdi Bennis, Mérouane Debbah:
Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces. Proc. IEEE 110(9): 1494-1525 (2022) - [j164]Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Communication-Efficient and Federated Multi-Agent Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 8(1): 311-320 (2022) - [j163]Mohamed K. Abdel-Aziz, Cristina Perfecto, Sumudu Samarakoon, Mehdi Bennis, Walid Saad:
Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning. IEEE Trans. Commun. 70(2): 891-903 (2022) - [j162]Yung-Lin Hsu, Chen-Feng Liu, Hung-Yu Wei, Mehdi Bennis:
Optimized Data Sampling and Energy Consumption in IIoT: A Federated Learning Approach. IEEE Trans. Commun. 70(12): 7915-7931 (2022) - [j161]Beatriz Soret, Lam Duc Nguyen, Jan Seeger, Arne Bröring, Chaouki Ben Issaid, Sumudu Samarakoon, Anis El Gabli, Vivek Kulkarni, Mehdi Bennis, Petar Popovski:
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs. IEEE Trans. Green Commun. Netw. 6(1): 629-644 (2022) - [j160]Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Communication-Efficient Federated Learning: A Second Order Newton-Type Method With Analog Over-the-Air Aggregation. IEEE Trans. Green Commun. Netw. 6(3): 1862-1874 (2022) - [j159]In-Soo Kim, Mehdi Bennis, Junil Choi:
Cell-Free mmWave Massive MIMO Systems With Low-Capacity Fronthaul Links and Low-Resolution ADC/DACs. IEEE Trans. Veh. Technol. 71(10): 10512-10526 (2022) - [j158]Qianqian Zhang, Aidin Ferdowsi, Walid Saad, Mehdi Bennis:
Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks. IEEE Trans. Wirel. Commun. 21(3): 1438-1452 (2022) - [j157]Qianqian Zhang, Walid Saad, Mehdi Bennis:
Millimeter Wave Communications With an Intelligent Reflector: Performance Optimization and Distributional Reinforcement Learning. IEEE Trans. Wirel. Commun. 21(3): 1836-1850 (2022) - [j156]Yanxiang Jiang, Yuting Wu, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Federated Learning-Based Content Popularity Prediction in Fog Radio Access Networks. IEEE Trans. Wirel. Commun. 21(6): 3836-3849 (2022) - [j155]Chaouki Ben Issaid, Anis Elgabli, Jihong Park, Mehdi Bennis, Mérouane Debbah:
Communication Efficient Decentralized Learning Over Bipartite Graphs. IEEE Trans. Wirel. Commun. 21(6): 4150-4167 (2022) - [j154]Yanxiang Jiang, Bao Wang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Joint MDS Codes and Weighted Graph-Based Coded Caching in Fog Radio Access Networks. IEEE Trans. Wirel. Commun. 21(9): 6789-6802 (2022) - [j153]Shengli Liu, Guanding Yu, Xianfu Chen, Mehdi Bennis:
Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning With IID and Non-IID Data. IEEE Trans. Wirel. Commun. 21(10): 7852-7866 (2022) - [j152]Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis:
Federated Learning on the Road Autonomous Controller Design for Connected and Autonomous Vehicles. IEEE Trans. Wirel. Commun. 21(12): 10407-10423 (2022) - [j151]Xiaokang Zhou, Yansha Deng, Huiyun Xia, Shaochuan Wu, Mehdi Bennis:
Time-Triggered Federated Learning Over Wireless Networks. IEEE Trans. Wirel. Commun. 21(12): 11066-11079 (2022) - [j150]Hamid Shiri, Hyowoon Seo, Jihong Park, Mehdi Bennis:
Attention-Based Communication and Control for Multi-UAV Path Planning. IEEE Wirel. Commun. Lett. 11(7): 1409-1413 (2022) - [c201]Arne Bröring, Vivek Kulkarni, Andreas Zirkler, Philippe Buschmann, Konstantinos Fysarakis, Simon Mayer, Beatriz Soret, Lam Duc Nguyen, Petar Popovski, Sumudu Samarakoon, Mehdi Bennis, Jérôme Härri, Martijn N. Rooker, Gerald Fritz, Anca Bucur, George Spanoudakis, Sotiris Ioannidis:
IntellIoT: Intelligent IoT Environments. GIOTS 2022: 55-68 - [c200]Qiyang Zhao, Mehdi Bennis, Mérouane Debbah, Daniel Benevides da Costa:
Semantic-Native Communication: A Simplicial Complex Perspective. GLOBECOM (Workshops) 2022: 1513-1518 - [c199]Qi Chang, Baotian Fan, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Security-aware Cooperative Caching via Deep Reinforcement Learning in Fog Radio Access Networks. GLOBECOM (Workshops) 2022: 1742-1747 - [c198]Luciano Miuccio, Salvatore Riolo, Sumudu Samarakoon, Daniela Panno, Mehdi Bennis:
Learning Generalized Wireless MAC Communication Protocols via Abstraction. GLOBECOM 2022: 2322-2327 - [c197]Zhiheng Wang, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach. ICC 2022: 68-73 - [c196]Shengli Liu, Guanding Yu, Xianfu Chen, Mehdi Bennis:
Joint User Association and Resource Allocation for Wireless Hierarchical Federated Learning with Non-IID Data. ICC 2022: 74-79 - [c195]Lingling Zhang, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach. ICC Workshops 2022: 97-102 - [c194]Jingming Liang, Yong Xiao, Yingyu Li, Guangming Shi, Mehdi Bennis:
Life-long Learning for Reasoning-based Semantic Communication. ICC Workshops 2022: 271-276 - [c193]Yingqi Chen, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Coded Caching via Federated Deep Reinforcement Learning in Fog Radio Access Networks. ICC Workshops 2022: 403-408 - [c192]Kyriakos Stylianopoulos, George C. Alexandropoulos, Chongwen Huang, Chau Yuen, Mehdi Bennis, Mérouane Debbah:
Deep Contextual Bandits for Orchestrating Multi-User MISO Systems with Multiple RISs. ICC 2022: 1556-1561 - [c191]Baotian Fan, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Social-aware Cooperative Caching in Fog Radio Access Networks. ICC 2022: 1672-1677 - [c190]Xiaokang Zhou, Yansha Deng, Huiyun Xia, Shaochuan Wu, Mehdi Bennis:
Resource Allocation for Time-triggered Federated Learning over Wireless Networks. ICC 2022: 2810-2815 - [c189]Qi Chang, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Cooperative Edge Caching via Multi Agent Reinforcement Learning in Fog Radio Access Networks. ICC 2022: 3641-3646 - [c188]Christina Chaccour, Walid Saad, Omid Semiari, Mehdi Bennis, Petar Popovski:
Joint Sensing and Communication for Situational Awareness in Wireless THz Systems. ICC 2022: 3772-3777 - [c187]Qianli Tan, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
MDS Codes Based Group Coded Caching in Fog Radio Access Networks. ICC 2022: 5700-5705 - [c186]Anis Elgabli, Chaouki Ben Issaid, Amrit Singh Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. ICML 2022: 5861-5877 - [c185]Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. INFOCOM 2022: 1729-1738 - [c184]Livia Elena Chatzieleftheriou, Chen-Feng Liu, Iordanis Koutsopoulos, Mehdi Bennis, Mérouane Debbah:
Online Learning for Industrial IoT: The Online Convex Optimization Perspective. MeditCom 2022: 7-12 - [c183]Ahmet M. Elbir, Burak Soner, Sinem Coleri, Deniz Gündüz, Mehdi Bennis:
Federated Learning in Vehicular Networks. MeditCom 2022: 72-77 - [c182]Ju-Hyung Lee, Hyowoon Seo, Jihong Park, Mehdi Bennis, Young-Chai Ko, Joongheon Kim:
Random Access Protocol Learning in LEO Satellite Networks via Reinforcement Learning. VTC Spring 2022: 1-5 - [c181]Arian Ahmadi, Omid Semiari, Mehdi Bennis, Mérouane Debbah:
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks. WCNC 2022: 752-757 - [c180]Hosein Zarini, Mohammad Robat Mili, Mehdi Rasti, Pedro H. J. Nardelli, Mehdi Bennis:
Xavier-Enabled Extreme Reservoir Machine for Millimeter-Wave Beamspace Channel Tracking. WCNC 2022: 1683-1688 - [c179]Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis:
Local Stochastic ADMM for Communication-Efficient Distributed Learning. WCNC 2022: 1880-1885 - [c178]Seungeun Oh, Jihong Park, Praneeth Vepakomma, Sihun Baek, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning. WWW 2022: 3347-3357 - [i251]Tengchan Zeng, Omid Semiari, Walid Saad, Mehdi Bennis:
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM). CoRR abs/2201.00626 (2022) - [i250]Mohammad Mahdi Azari, Sourabh Solanki, Symeon Chatzinotas, Mehdi Bennis:
THz-Empowered UAVs in 6G: Opportunities, Challenges, and Trade-Offs. CoRR abs/2201.07886 (2022) - [i249]Arian Ahmadi, Omid Semiari, Mehdi Bennis, Mérouane Debbah:
Variational Autoencoders for Reliability Optimization in Multi-Access Edge Computing Networks. CoRR abs/2201.10032 (2022) - [i248]Jingming Liang, Yong Xiao, Yingyu Li, Guangming Shi, Mehdi Bennis:
Life-long Learning for Reasoning-based Semantic Communication. CoRR abs/2202.01952 (2022) - [i247]Kyriakos Stylianopoulos, George C. Alexandropoulos, Chongwen Huang, Chau Yuen, Mehdi Bennis, Mérouane Debbah:
Deep Contextual Bandits for Orchestrating Multi-User MISO Systems with Multiple RISs. CoRR abs/2202.08194 (2022) - [i246]Won Joon Yun, Yunseok Kwak, Hankyul Baek, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim:
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks. CoRR abs/2203.14094 (2022) - [i245]Xiaokang Zhou, Yansha Deng, Huiyun Xia, Shaochuan Wu, Mehdi Bennis:
Time-triggered Federated Learning over Wireless Networks. CoRR abs/2204.12426 (2022) - [i244]Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh, Juha Partala, Alfonso González-Gil, Ester Sola, Iñigo Angulo, Madhusanka Liyanage, Teemu Leppänen, Tri Nguyen, Panos Kostakos, Mehdi Bennis, Sasu Tarkoma, Schahram Dustdar, Susanna Pirttikangas, Jukka Riekki:
Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration. CoRR abs/2205.01423 (2022) - [i243]George C. Alexandropoulos, Kyriakos Stylianopoulos, Chongwen Huang, Chau Yuen, Mehdi Bennis, Mérouane Debbah:
Pervasive Machine Learning for Smart Radio Environments Enabled by Reconfigurable Intelligent Surfaces. CoRR abs/2205.03793 (2022) - [i242]In-Soo Kim, Mehdi Bennis, Junil Choi:
Cell-Free MmWave Massive MIMO Systems with Low-Capacity Fronthaul Links and Low-Resolution ADC/DACs. CoRR abs/2205.07598 (2022) - [i241]Lingling Zhang, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach. CoRR abs/2206.05881 (2022) - [i240]Zhiheng Wang, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach. CoRR abs/2206.05894 (2022) - [i239]Luciano Miuccio, Salvatore Riolo, Sumudu Samarakoon, Daniela Panno, Mehdi Bennis:
Learning Generalized Wireless MAC Communication Protocols via Abstraction. CoRR abs/2206.06331 (2022) - [i238]In-Soo Kim, Mehdi Bennis, Jaeky Oh, Jaehoon Chung, Junil Choi:
Bayesian Channel Estimation for Intelligent Reflecting Surface-Aided mmWave Massive MIMO Systems With Semi-Passive Elements. CoRR abs/2206.06605 (2022) - [i237]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal:
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. CoRR abs/2206.08829 (2022) - [i236]Yingqi Chen, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Coded Caching via Federated Deep Reinforcement Learning in Fog Radio Access Networks. CoRR abs/2206.09406 (2022) - [i235]Qi Chang, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Cooperative Edge Caching via Multi Agent Reinforcement Learning in Fog Radio Access Networks. CoRR abs/2206.09549 (2022) - [i234]Qianli Tan, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
MDS Codes Based Group Coded Caching in Fog Radio Access Networks. CoRR abs/2206.09623 (2022) - [i233]Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Mehdi Bennis:
An Energy and Carbon Footprint Analysis of Distributed and Federated Learning. CoRR abs/2206.10380 (2022) - [i232]Baotian Fan, Yanxiang Jiang, Fu-Chun Zheng, Mehdi Bennis, Xiaohu You:
Social-aware Cooperative Caching in Fog Radio Access Networks. CoRR abs/2206.13741 (2022) - [i231]Sihun Baek, Jihong Park, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning. CoRR abs/2207.00234 (2022) - [i230]Sejin Seo, Jihong Park, Seung-Woo Ko, Jinho Choi, Mehdi Bennis, Seong-Lyun Kim:
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective. CoRR abs/2207.03920 (2022) - [i229]Won Joon Yun, Jae Pyoung Kim, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim:
Slimmable Quantum Federated Learning. CoRR abs/2207.10221 (2022) - [i228]Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis:
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs. CoRR abs/2208.13810 (2022) - [i227]Abanoub M. Girgis, Hyowoon Seo, Jihong Park, Mehdi Bennis, Jinho Choi:
Predictive Closed-Loop Remote Control over Wireless Two-Way Split Koopman Autoencoder. CoRR abs/2209.06915 (2022) - [i226]Xianfu Chen, Zhifeng Zhao, Shiwen Mao, Celimuge Wu, Honggang Zhang, Mehdi Bennis:
Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning. CoRR abs/2209.08947 (2022) - [i225]Xiaonan Liu, Yansha Deng, Arumugam Nallanathan, Mehdi Bennis:
Federated and Meta learning over Non-Wireless and Wireless Networks: A Tutorial. CoRR abs/2210.13111 (2022) - [i224]Seungeun Oh, Jihong Park, Sihun Baek, Hyelin Nam, Praneeth Vepakomma, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim:
Differentially Private CutMix for Split Learning with Vision Transformer. CoRR abs/2210.15986 (2022) - [i223]Qiyang Zhao, Mehdi Bennis, Mérouane Debbah, Daniel Benevides da Costa:
Semantic-Native Communication: A Simplicial Complex Perspective. CoRR abs/2210.16970 (2022) - [i222]Stefano Savazzi, Vittorio Rampa, Sanaz Kianoush, Mehdi Bennis:
On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning. CoRR abs/2212.01049 (2022) - [i221]Won Joon Yun, Jae Pyoung Kim, Hankyul Baek, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim:
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding. CoRR abs/2212.01732 (2022) - [i220]Jihong Park, Jinho Choi, Seong-Lyun Kim, Mehdi Bennis:
Enabling the Wireless Metaverse via Semantic Multiverse Communication. CoRR abs/2212.06908 (2022) - 2021
- [j149]Stefano Savazzi, Monica Nicoli, Mehdi Bennis, Sanaz Kianoush, Luca Barbieri:
Opportunities of Federated Learning in Connected, Cooperative, and Automated Industrial Systems. IEEE Commun. Mag. 59(2): 16-21 (2021) - [j148]Luis Velasco, Marco Signorelli, Óscar González de Dios, Chrysa Papagianni, Roberto Bifulco, Juan Jose Vegas Olmos, Simon Pryor, Gino Carrozzo, Julius Schulz-Zander, Mehdi Bennis, Ricardo Martínez, Filippo Cugini, Claudio Salvadori, Vincent Lefebvre, Luca Valcarenghi, Marc Ruiz:
End-to-End Intent-Based Networking. IEEE Commun. Mag. 59(10): 106-112 (2021) - [j147]Reza Moosavi, Saeedeh Parsaeefard, Mohammad Ali Maddah-Ali, Vahid Shah-Mansouri, Babak Hossein Khalaj, Mehdi Bennis:
Energy efficiency through joint routing and function placement in different modes of SDN/NFV networks. Comput. Networks 200: 108492 (2021) - [j146]Takayuki Nishio, Yusuke Koda, Jihong Park, Mehdi Bennis, Klaus Doppler:
When Wireless Communications Meet Computer Vision in Beyond 5G. IEEE Commun. Stand. Mag. 5(2): 76-83 (2021) - [j145]Hamza Khan, Petri Luoto, Sumudu Samarakoon, Mehdi Bennis, Matti Latva-aho:
Network slicing for vehicular communication. Trans. Emerg. Telecommun. Technol. 32(1) (2021) - [j144]Eunjeong Jeong, Seungeun Oh, Jihong Park, Hyesung Kim, Mehdi Bennis, Seong-Lyun Kim:
Hiding in the Crowd: Federated Data Augmentation for On-Device Learning. IEEE Intell. Syst. 36(5): 80-87 (2021) - [j143]Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao:
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14(1-2): 1-210 (2021) - [j142]Sumudu Samarakoon, Mehdi Bennis, Walid Saad, Mérouane Debbah:
Predictive Ultra-Reliable Communication: A Survival Analysis Perspective. IEEE Commun. Lett. 25(4): 1221-1225 (2021) - [j141]Saeed Jamshidiha, Vahid Pourahmadi, Abbas Mohammadi, Mehdi Bennis:
Link Activation Using Variational Graph Autoencoders. IEEE Commun. Lett. 25(7): 2358-2361 (2021) - [j140]Hyowoon Seo, Jihong Park, Mehdi Bennis, Wan Choi:
Communication and Consensus Co-Design for Distributed, Low-Latency, and Reliable Wireless Systems. IEEE Internet Things J. 8(1): 129-143 (2021) - [j139]Taehyeun Park, Gilsoo Lee, Walid Saad, Mehdi Bennis:
Sum Rate and Reliability Analysis for Power-Domain Nonorthogonal Multiple Access (PD-NOMA). IEEE Internet Things J. 8(12): 10160-10169 (2021) - [j138]Zhenwen Ren, Mithun Mukherjee, Mehdi Bennis, Jaime Lloret:
Multikernel Clustering via Non-Negative Matrix Factorization Tailored Graph Tensor Over Distributed Networks. IEEE J. Sel. Areas Commun. 39(7): 1946-1956 (2021) - [j137]Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor:
Guest Editorial Special Issue on Distributed Learning Over Wireless Edge Networks - Part I. IEEE J. Sel. Areas Commun. 39(12): 3575-3578 (2021) - [j136]Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor:
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges. IEEE J. Sel. Areas Commun. 39(12): 3579-3605 (2021) - [j135]Alireza Shamsoshoara, Fatemeh Afghah, Erik Blasch, Jonathan D. Ashdown, Mehdi Bennis:
UAV-Assisted Communication in Remote Disaster Areas Using Imitation Learning. IEEE Open J. Commun. Soc. 2: 738-753 (2021) - [j134]