Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learningby Sijia Chen, Ningxin Su,…
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosisby Jiaqi Wang, Ziyi Yin, Quanzeng…
Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networksby Yu Qiao, Apurba Adhikary, Kitae…
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learningby Zhonghua Jiang, Jimin Xu,…
GeFL: Model-Agnostic Federated Learning with Generative Modelsby Honggu Kang, Seohyeon Cha, Joonhyuk KangFirst submitted to…
FedGIG: Graph Inversion from Gradient in Federated Learningby Tianzhe Xiao, Yichen Li, Yining Qi, Haozhao…
An Empirical Analysis of Federated Learning Models Subject to Label-Flipping Adversarial Attackby Kunal Bhatnagar, Sagana…
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysisby…
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchorby Hao Yu, Xin Yang,…
FedTLU: Federated Learning with Targeted Layer Updatesby Jong-Ik Park, Carlee Joe-WongFirst submitted to arxiv on:…