v1v2 (latest)

Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning

3 July 2020

Papers citing "Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning"

28 / 28 papers shown

Title
Rethinking Federated Learning Over the Air: The Blessing of Scaling Up Jiaqi Zhu Bikramjit Das Yong Xie Nikolaos Pappas Howard H. Yang FedML 112 1 0 25 Aug 2025
Convergence-Privacy-Fairness Trade-Off in Personalized Federated LearningIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2025 Xiyu Zhao Qimei Cui Weicai Li Wei Ni Ekram Hossain Quan Z. Sheng Xiaofeng Tao Ping Zhang FedML 199 1 0 17 Jun 2025
GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning Shayan Mohajer Hamidi Ali Bereyhi S. Asaad H. Vincent Poor 289 1 0 05 Dec 2024
Trustworthy Federated Learning: Privacy, Security, and BeyondKnowledge and Information Systems (KAIS), 2024 Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 288 41 0 03 Nov 2024
A Web-Based Solution for Federated Learning with LLM-Based Automation Chamith Mawela Chaouki Ben Issaid Mehdi Bennis FedML 95 1 0 23 Aug 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 227 3 0 16 Jun 2024
Balancing Energy Efficiency and Distributional Robustness in Over-the-Air Federated Learning Mohamed Badi Chaouki Ben Issaid Anis Elgabli Mehdi Bennis 123 0 0 22 Dec 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei Chen Khaled B. Letaief FedML 439 23 0 16 Oct 2023
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future DirectionsFundamental Research (FR), 2023 Bingnan Xiao Xichen Yu Wei Ni Xin Wang H. Vincent Poor 207 32 0 03 Jul 2023
Edge Intelligence Over the Air: Two Faces of Interference in Federated LearningIEEE Communications Magazine (IEEE Commun. Mag.), 2023 Zihan Chen Howard H. Yang Tony Q.S. Quek 254 20 0 17 Jun 2023
Communication and Energy Efficient Wireless Federated Learning with Intrinsic PrivacyIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023 Zhenxiao Zhang Yuanxiong Guo Yuguang Fang Yanmin Gong 171 7 0 15 Apr 2023
Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMOIEEE Transactions on Wireless Communications (TWC), 2022 Houssem Sifaou Geoffrey Ye Li 299 19 0 13 Dec 2022
A New Implementation of Federated Learning for Privacy and Security EnhancementGlobal Communications Conference (GLOBECOM), 2022 Xiang Ma Haijian Sun R. Hu Yi Qian FedML 197 4 0 03 Aug 2022
Over-the-Air Federated Learning via Second-Order OptimizationIEEE Transactions on Wireless Communications (TWC), 2022 Peng Yang Yuning Jiang Ting Wang Yong Zhou Yuanming Shi Colin N. Jones 288 34 0 29 Mar 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 285 525 0 24 Nov 2021
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs B. Soret L. Nguyen J. Seeger Arne Bröring Chaouki Ben Issaid S. Samarakoon Anis El Gabli V. Kulkarni M. Bennis P. Popovski 226 16 0 04 Oct 2021
Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks Sawan Singh Mahara M. Shruti B. Bharath Akash Murthy FedML 201 0 0 05 Aug 2021
Communication-Efficient Split Learning Based on Analog Communication and Over the Air AggregationGlobal Communications Conference (GLOBECOM), 2021 Mounssif Krouka Anis Elgabli Chaouki Ben Issaid M. Bennis 136 25 0 02 Jun 2021
Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying ChannelsIEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021 Mounssif Krouka Anis Elgabli Chaouki Ben Issaid M. Bennis 108 14 0 02 Jun 2021
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient AscentGlobal Communications Conference (GLOBECOM), 2021 Anis Elgabli Chaouki Ben Issaid Amrit Singh Bedi M. Bennis Vaneet Aggarwal FedML 61 4 0 31 May 2021
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine LearningGlobal Communications Conference (GLOBECOM), 2021 Yusuke Koda Jihong Park M. Bennis Praneeth Vepakomma Ramesh Raskar 157 10 0 02 May 2021
Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge LearningIEEE Journal on Selected Areas in Communications (JSAC), 2021 Dian Fan Xiaojun Yuan Y. Zhang FedML 255 25 0 03 Mar 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence AnalysisIEEE Journal on Selected Areas in Communications (JSAC), 2021 Hong Xing Osvaldo Simeone Suzhi Bi 254 112 0 29 Jan 2021
Federated Learning via Intelligent Reflecting Surface Zhibin Wang Jiahang Qiu Yong Zhou Yuanming Shi Liqun Fu Wei Chen Khaled B. Letaief 195 170 0 10 Nov 2020
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM Chaouki Ben Issaid Anis Elgabli Jihong Park M. Bennis Mérouane Debbah FedML 195 13 0 14 Sep 2020
Wireless for Machine Learning Henrik Hellström J. M. B. D. Silva Mohammad Mohammadi Amiri Mingzhe Chen Viktoria Fodor H. Vincent Poor Carlo Fischione 321 18 0 31 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and ApplicationsProceedings of the IEEE (Proc. IEEE), 2020 Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 262 176 0 06 Aug 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 555 7,456 0 10 Dec 2019