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Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge
IEEE Transactions on Wireless Communications (TWC), 2020
28 January 2020
M. Amiri
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
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Papers citing
"Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge"
50 / 73 papers shown
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177
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355
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Byzantine-Resilient Over-the-Air Federated Learning under Zero-Trust Architecture
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325
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24 Mar 2025
Biased Federated Learning under Wireless Heterogeneity
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278
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Tao Yang
Bo Hu
X. Wu
Hui Feng
351
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06 Mar 2025
Distributed Online Optimization with Stochastic Agent Availability
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Hao Qiu
438
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305
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Zheng Chang
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303
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199
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Jun Fang
Hongbin Li
Yonina C. Eldar
FedML
274
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Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
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Nicolò Michelusi
380
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Hajar Elhammouti
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191
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VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning
IEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2023
Luca Ballotta
Nicolò Dal Fabbro
Giovanni Perin
Luca Schenato
Michele Rossi
Giuseppe Piro
264
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Asynchronous Wireless Federated Learning with Probabilistic Client Selection
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Jiarong Yang
Yuan Liu
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Wen Chen
Changle Li
FedML
217
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Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network
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Personalized Federated Learning via ADMM with Moreau Envelope
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253
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SoK: Memorisation in machine learning
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Moritz Knolle
Georgios Kaissis
364
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Jingyang Zhu
Yuanming Shi
Yong Zhou
Chunxiao Jiang
Wei Chen
Khaled B. Letaief
FedML
548
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16 Oct 2023
REWAFL: Residual Energy and Wireless Aware Participant Selection for Efficient Federated Learning over Mobile Devices
IEEE Transactions on Mobile Computing (IEEE TMC), 2023
Y. Li
X. Qin
J. Geng
Ruoxin Chen
Y. Hou
Yonghai Gong
M. Pan
Peng Zhang
236
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24 Sep 2023
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning
IEEE Transactions on Wireless Communications (IEEE TWC), 2023
Yuchang Sun
Zehong Lin
Yuyi Mao
Shi Jin
Jinchao Zhang
428
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26 May 2023
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization
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Zhangyu Chang
Seyyedali Hosseinalipour
M. Chiang
Christopher G. Brinton
291
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22 May 2023
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
European Interdisciplinary Cybersecurity Conference (IC), 2023
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305
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02 May 2023
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services
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Dewant Katare
Diego Perino
J. Nurmi
M. Warnier
Marijn Janssen
Aaron Yi Ding
324
70
0
13 Apr 2023
Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Wanli Ni
Jingheng Zheng
Hui Tian
FedML
226
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Marco Skocaj
Pedro Enrique Iturria-Rivera
Roberto Verdone
Melike Erol-Kantarci
185
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27 Jan 2023
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
IEEE Communications Surveys and Tutorials (COMST), 2023
Yandong Shi
Lixiang Lian
Yuanming Shi
Zixin Wang
Yong Zhou
Liqun Fu
Lin Bai
Jun Zhang
Wei Zhang
AI4CE
313
176
0
03 Jan 2023
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks
IEEE Journal on Selected Areas in Communications (JSAC), 2022
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
282
111
0
14 Dec 2022
Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMO
IEEE Transactions on Wireless Communications (TWC), 2022
Houssem Sifaou
Geoffrey Ye Li
405
21
0
13 Dec 2022
MOB-FL: Mobility-Aware Federated Learning for Intelligent Connected Vehicles
Bowen Xie
Yuxuan Sun
Sheng Zhou
Z. Niu
Yang Xu
Jingran Chen
Deniz Gündüz
272
20
0
07 Dec 2022
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Lei Fu
Huan Zhang
Ge Gao
Mi Zhang
Xin Liu
FedML
363
248
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03 Nov 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions
IEEE Communications Surveys and Tutorials (COMST), 2022
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
423
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0
24 Oct 2022
To Compute or not to Compute? Adaptive Smart Sensing in Resource-Constrained Edge Computing
IEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2022
Luca Ballotta
Giovanni Peserico
Francesco Zanini
Paolo Dini
260
10
0
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CFLIT: Coexisting Federated Learning and Information Transfer
IEEE Transactions on Wireless Communications (TWC), 2022
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Y. Zhang
241
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Over-the-Air Federated Edge Learning with Hierarchical Clustering
IEEE Transactions on Wireless Communications (TWC), 2022
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M. Kazemi
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T. Duman
246
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Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks
IEEE Journal on Selected Areas in Communications (JSAC), 2022
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W. Zhuang
294
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International Symposium on Information Theory (ISIT), 2022
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R. Saha
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213
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139
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