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Federated Learning from Only Unlabeled Data with
  Class-Conditional-Sharing Clients
v1v2 (latest)

Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients

7 April 2022
Nan Lu
Zhao Wang
Xiaoxiao Li
Gang Niu
Qianming Dou
Masashi Sugiyama
    FedML
ArXiv (abs)PDFHTMLGithub (32★)

Papers citing "Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients"

5 / 5 papers shown
Title
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
113
12
0
05 Mar 2024
A Quality-of-Service Compliance System using Federated Learning and
  Optimistic Rollups
A Quality-of-Service Compliance System using Federated Learning and Optimistic Rollups
João Paulo de Brito Gonçalves
Guilherme Emerick Sathler
R. Villaça
FedML
86
0
0
14 Nov 2023
Learning Across Domains and Devices: Style-Driven Source-Free Domain
  Adaptation in Clustered Federated Learning
Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning
Donald Shenaj
Eros Fani
Marco Toldo
Debora Caldarola
A. Tavera
Umberto Michieli
Marco Ciccone
Pietro Zanuttigh
Barbara Caputo
FedML
92
39
0
05 Oct 2022
FedMT: Federated Learning with Mixed-type Labels
FedMT: Federated Learning with Mixed-type Labels
Qiong Zhang
Jing Peng
Xin Zhang
A. Talhouk
Gang Niu
Xiaoxiao Li
FedML
135
0
0
05 Oct 2022
Federated Self-supervised Learning for Heterogeneous Clients
Federated Self-supervised Learning for Heterogeneous Clients
Disha Makhija
Nhat Ho
Joydeep Ghosh
FedML
125
26
0
25 May 2022
1