Summary of Fair Federated Learning Under Domain Skew with Local Consistency and Domain Diversity, by Yuhang Chen et al.
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversityby Yuhang Chen, Wenke…
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversityby Yuhang Chen, Wenke…
Multi-Level Additive Modeling for Structured Non-IID Federated Learningby Shutong Chen, Tianyi Zhou, Guodong Long, Jie…
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexingby Yongxin Guo, Lin Wang, Xiaoying…
Analytic Federated Learningby Huiping Zhuang, Run He, Kai Tong, Di Fang, Han Sun, Haoran Li,…
Federated Learning for Non-factorizable Models using Deep Generative Prior Approximationsby Conor Hassan, Joshua J Bon,…
FedSheafHN: Personalized Federated Learning on Graph-structured Databy Wenfei Liang, Yanan Zhao, Rui She, Yiming Li,…
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimizationby Zhe Li, Bicheng Ying, Zidong Liu,…
CAFe: Cost and Age aware Federated Learningby Sahan Liyanaarachchi, Kanchana Thilakarathna, Sennur UlukusFirst submitted to…
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learningby Dario Fenoglio, Gabriele…
Harnessing Increased Client Participation with Cohort-Parallel Federated Learningby Akash Dhasade, Anne-Marie Kermarrec, Tuan-Anh Nguyen, Rafael…