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The Risk of Federated Learning to Skew Fine-Tuning Features and
  Underperform Out-of-Distribution Robustness

The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness

25 January 2024
Mengyao Du
Miao Zhang
Yuwen Pu
Kai Xu
Shouling Ji
Quanjun Yin
ArXivPDFHTML

Papers citing "The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness"

3 / 3 papers shown
Title
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Yiyuan Yang
Guodong Long
Tianyi Zhou
Qinghua Lu
Shanshan Ye
Jing Jiang
OODD
84
1
0
02 May 2025
Towards Understanding and Mitigating Dimensional Collapse in
  Heterogeneous Federated Learning
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
Yujun Shi
Jian Liang
Wenqing Zhang
Vincent Y. F. Tan
Song Bai
FedML
69
55
0
01 Oct 2022
DynaSent: A Dynamic Benchmark for Sentiment Analysis
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts
Zhengxuan Wu
Atticus Geiger
Douwe Kiela
221
76
0
30 Dec 2020
1