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FedTrans: Efficient Federated Learning via Multi-Model Transformation

FedTrans: Efficient Federated Learning via Multi-Model Transformation

21 April 2024
Yuxuan Zhu
Jiachen Liu
Mosharaf Chowdhury
Fan Lai
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Papers citing "FedTrans: Efficient Federated Learning via Multi-Model Transformation"

3 / 3 papers shown
Title
Auxo: Efficient Federated Learning via Scalable Client Clustering
Auxo: Efficient Federated Learning via Scalable Client Clustering
Jiachen Liu
Fan Lai
Yinwei Dai
Aditya Akella
H. Madhyastha
Mosharaf Chowdhury
42
10
0
29 Oct 2022
Papaya: Practical, Private, and Scalable Federated Learning
Papaya: Practical, Private, and Scalable Federated Learning
Dzmitry Huba
John Nguyen
Kshitiz Malik
Ruiyu Zhu
Michael G. Rabbat
...
H. Srinivas
Kaikai Wang
Anthony Shoumikhin
Jesik Min
Mani Malek
FedML
107
137
0
08 Nov 2021
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
181
267
0
26 Feb 2021
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