Convergence Analysis and System Design for Federated Learning over Wireless Networks

30 April 2021

Papers citing "Convergence Analysis and System Design for Federated Learning over Wireless Networks"

9 / 9 papers shown

Title
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications Maoxin Ji Qiong Wu Pingyi Fan Nan Cheng Wen Chen Jiangzhou Wang Khaled B. Letaief GNN 37 16 0 09 Jul 2024
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization Qianyu Long Christos Anagnostopoulos S. P. Parambath Daning Bi AI4CE FedML 11 2 0 13 Sep 2023
Dynamic Scheduling for Federated Edge Learning with Streaming Data Chung-Hsuan Hu Zheng Chen Erik G. Larsson 24 4 0 02 May 2023
Random Orthogonalization for Federated Learning in Massive MIMO Systems Xizixiang Wei Cong Shen Jing Yang H. Vincent Poor 49 14 0 18 Oct 2022
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling Zheqi Zhu Yuchen Shi Pingyi Fan Chenghui Peng Khaled B. Letaief FedML 23 8 0 05 Oct 2022
Communication-Efficient Federated Distillation with Active Data Sampling Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief FedML 16 25 0 14 Mar 2022
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 179 1,032 0 29 Nov 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,685 0 14 Apr 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 136 1,198 0 16 Aug 2016