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

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
ArXivPDFHTML

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

6 / 6 papers shown
Title
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
6
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
26
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
49
0
0
05 Oct 2022
Embedding Alignment for Unsupervised Federated Learning via Smart Data
  Exchange
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange
Satyavrat Wagle
Seyyedali Hosseinalipour
Naji Khosravan
M. Chiang
Christopher G. Brinton
FedML
25
5
0
04 Aug 2022
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
787
0
15 Feb 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
317
11,681
0
09 Mar 2017
1