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Optimal Rate Adaption in Federated Learning with Compressed
  Communications

Optimal Rate Adaption in Federated Learning with Compressed Communications

13 December 2021
Laizhong Cui
Xiaoxin Su
Yipeng Zhou
Jiangchuan Liu
    FedML
ArXivPDFHTML

Papers citing "Optimal Rate Adaption in Federated Learning with Compressed Communications"

6 / 6 papers shown
Title
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization
Jake B. Perazzone
Shiqiang Wang
Mingyue Ji
Kevin S. Chan
FedML
65
0
0
01 Mar 2025
When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and
  Performance Evaluation
When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation
Chao Huang
Geng Tian
Ming Tang
FedML
27
4
0
23 Aug 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous
  Edge Devices
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices
Peichun Li
Guoliang Cheng
Xumin Huang
Jiawen Kang
Rong Yu
Yuan Wu
Miao Pan
FedML
45
21
0
08 Jan 2023
Federated Learning with Flexible Control
Federated Learning with Flexible Control
Shiqiang Wang
Jake B. Perazzone
Mingyue Ji
Kevin S. Chan
FedML
28
17
0
16 Dec 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework
  with Adaptive Neighbor Matching
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching
Zexi Li
Jiaxun Lu
Shuang Luo
Didi Zhu
Yunfeng Shao
Yinchuan Li
Zhimeng Zhang
Yongheng Wang
Chao-Xiang Wu
FedML
30
36
0
23 Mar 2022
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
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
1