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FRuDA: Framework for Distributed Adversarial Domain Adaptation

FRuDA: Framework for Distributed Adversarial Domain Adaptation

26 December 2021
Shaoduo Gan
Akhil Mathur
Anton Isopoussu
F. Kawsar
N. Bianchi-Berthouze
Nicholas D. Lane
ArXivPDFHTML

Papers citing "FRuDA: Framework for Distributed Adversarial Domain Adaptation"

5 / 5 papers shown
Title
Federated Source-free Domain Adaptation for Classification: Weighted
  Cluster Aggregation for Unlabeled Data
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
Junki Mori
Kosuke Kihara
Taiki Miyagawa
Akinori F. Ebihara
Isamu Teranishi
Hisashi Kashima
76
1
0
18 Dec 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware
  Client Indexing
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
Yongxin Guo
Lin Wang
Xiaoying Tang
Tao R. Lin
FedML
OOD
27
0
0
25 May 2024
Balancing Similarity and Complementarity for Federated Learning
Balancing Similarity and Complementarity for Federated Learning
Kunda Yan
Sen Cui
Abudukelimu Wuerkaixi
Jingfeng Zhang
Bo Han
Gang Niu
Masashi Sugiyama
Changshui Zhang
FedML
32
1
0
16 May 2024
Federated Learning without Full Labels: A Survey
Federated Learning without Full Labels: A Survey
Yilun Jin
Yang Liu
Kai Chen
Qian Yang
FedML
10
26
0
25 Mar 2023
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated
  Learning by Robust Clustering
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
Yongxin Guo
Xiaoying Tang
Tao R. Lin
OOD
FedML
30
8
0
29 Jan 2023
1