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. 2305.00771
  4. Cited By
Towards Unbiased Training in Federated Open-world Semi-supervised
  Learning

Towards Unbiased Training in Federated Open-world Semi-supervised Learning

1 May 2023
Jie Zhang
Xiaosong Ma
Song Guo
Wenchao Xu
    FedML
ArXivPDFHTML

Papers citing "Towards Unbiased Training in Federated Open-world Semi-supervised Learning"

5 / 5 papers shown
Title
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
Xinzi Cao
Xiawu Zheng
G. Wang
Weijiang Yu
Yunhang Shen
Ke Li
Yutong Lu
Yonghong Tian
CLL
52
4
0
09 Jan 2025
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
Hongjun Wang
S. Vaze
Kai Han
74
4
0
08 Aug 2024
SSFL: Tackling Label Deficiency in Federated Learning via Personalized
  Self-Supervision
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
Chaoyang He
Zhengyu Yang
Erum Mushtaq
Sunwoo Lee
Mahdi Soltanolkotabi
A. Avestimehr
FedML
98
36
0
06 Oct 2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for
  Open-Set Semi-Supervised Learning
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Junkai Huang
Chaowei Fang
Weikai Chen
Z. Chai
Xiaolin K. Wei
Pengxu Wei
Liang Lin
Guanbin Li
OODD
50
63
0
12 Aug 2021
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
262
656
0
23 Mar 2020
1