A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control

2 April 2025

Papers citing "A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control"

16 / 16 papers shown

Title
Federated Dropout: Convergence Analysis and Resource Allocation Sijing Xie Dingzhu Wen Xiaonan Liu Changsheng You T. Ratnarajah Kaibin Huang FedML 34 2 0 03 Jan 2025
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks Bing Luo Wenli Xiao Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 63 7 0 22 Apr 2024
Asynchronous Wireless Federated Learning with Probabilistic Client Selection Jiarong Yang Yuan Liu Fangjiong Chen Wen Chen Changle Li FedML 59 8 0 28 Nov 2023
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 116 38 0 24 Oct 2022
SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications Yuzhu Mao Zihao Zhao Meilin Yang Le Liang Yang Liu Wenbo Ding Tian-Shing Lan Xiaoping Zhang FedML 67 22 0 05 Apr 2022
Low-Latency Federated Learning over Wireless Channels with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Cailian Chen Shi Jin Zhu Han H. Vincent Poor FedML 78 74 0 20 Jun 2021
Fast Federated Learning in the Presence of Arbitrary Device Unavailability Xinran Gu Kaixuan Huang Jingzhao Zhang Longbo Huang FedML 65 101 0 08 Jun 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 119 416 0 05 Apr 2021
Energy Efficient Federated Learning over Heterogeneous Mobile Devices via Joint Design of Weight Quantization and Wireless Transmission Rui Chen Liang Li Kaiping Xue Chi Zhang Miao Pan Yuguang Fang MQ 55 40 0 21 Dec 2020
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective Jie Xu Heqiang Wang 50 360 0 09 Apr 2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis Guangxu Zhu Yuqing Du Deniz Gunduz Kaibin Huang 84 316 0 16 Jan 2020
Machine Intelligence at the Edge with Learning Centric Power Allocation Shuai Wang Yik-Chung Wu Minghua Xia Rui Wang H. Vincent Poor 65 67 0 12 Nov 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 92 1,192 0 17 Sep 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 79 1,362 0 07 Mar 2019
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 209 19,335 0 13 Jan 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,615 0 17 Feb 2016