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FedBRB: An Effective Solution to the Small-to-Large Scenario in
  Device-Heterogeneity Federated Learning

FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning

27 February 2024
Ziyue Xu
Ming Xu
Tianchi Liao
Zibin Zheng
Chuan Chen
    FedML
ArXivPDFHTML

Papers citing "FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning"

3 / 3 papers shown
Title
Towards Diverse Device Heterogeneous Federated Learning via Task
  Arithmetic Knowledge Integration
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
Mahdi Morafah
Vyacheslav Kungurtsev
Hojin Chang
C. L. P. Chen
Bill Lin
FedML
32
0
0
27 Sep 2024
Federated Large Language Models: Current Progress and Future Directions
Federated Large Language Models: Current Progress and Future Directions
Yuhang Yao
Jianyi Zhang
Junda Wu
Chengkai Huang
Yu Xia
...
Ang Li
Lina Yao
Julian McAuley
Yiran Chen
Carlee Joe-Wong
FedML
AIFin
61
8
0
24 Sep 2024
FjORD: Fair and Accurate Federated Learning under heterogeneous targets
  with Ordered Dropout
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout
Samuel Horváth
Stefanos Laskaridis
Mario Almeida
Ilias Leondiadis
Stylianos I. Venieris
Nicholas D. Lane
176
267
0
26 Feb 2021
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