ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2307.01514
  4. Cited By
SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images

SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images

4 July 2023
Sunder Ali Khowaja
K. Dev
Syed Muhammad Anwar
M. Linguraru
    FedML
ArXivPDFHTML

Papers citing "SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images"

3 / 3 papers shown
Title
Label-Efficient Self-Supervised Federated Learning for Tackling Data
  Heterogeneity in Medical Imaging
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan
Liangqiong Qu
Qingyue Wei
Shih-Cheng Huang
Liyue Shen
D. Rubin
Lei Xing
Yuyin Zhou
FedML
78
90
0
17 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,481
0
11 Nov 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
281
3,381
0
09 Mar 2020
1