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HADFL: Heterogeneity-aware Decentralized Federated Learning Framework

HADFL: Heterogeneity-aware Decentralized Federated Learning Framework

16 November 2021
Jing Cao
Zirui Lian
Weihong Liu
Zongwei Zhu
Cheng Ji
    FedML
ArXivPDFHTML

Papers citing "HADFL: Heterogeneity-aware Decentralized Federated Learning Framework"

3 / 3 papers shown
Title
When Foresight Pruning Meets Zeroth-Order Optimization: Efficient
  Federated Learning for Low-Memory Devices
When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices
Peng Zhang
Yingjie Liu
Yingbo Zhou
Xiao Du
Xian Wei
Ting Wang
Mingsong Chen
FedML
22
1
0
08 May 2024
Decentralized Learning Made Practical with Client Sampling
Decentralized Learning Made Practical with Client Sampling
M. Vos
Akash Dhasade
Anne-Marie Kermarrec
Erick Lavoie
J. Pouwelse
Rishi Sharma
27
1
0
27 Feb 2023
Decentralized Federated Learning: Fundamentals, State of the Art,
  Frameworks, Trends, and Challenges
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
21
221
0
15 Nov 2022
1