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FedCRL: Personalized Federated Learning with Contrastive Shared
  Representations for Label Heterogeneity in Non-IID Data

FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data

27 April 2024
Chenghao Huang
Xiaolu Chen
Yanru Zhang
Hao Wang
    FedML
ArXivPDFHTML

Papers citing "FedCRL: Personalized Federated Learning with Contrastive Shared Representations for Label Heterogeneity in Non-IID Data"

5 / 5 papers shown
Title
Federated Few-shot Learning
Federated Few-shot Learning
Song Wang
Xingbo Fu
Kaize Ding
Chen Chen
Huiyuan Chen
Jundong Li
FedML
42
22
0
17 Jun 2023
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
151
455
0
01 May 2021
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
183
840
0
01 Mar 2021
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Q. Li
Yiqun Diao
Quan Chen
Bingsheng He
FedML
OOD
87
943
0
03 Feb 2021
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
A. Smeaton
SSL
AI4TS
164
684
0
10 Oct 2020
1