Poster "client heterogeneity" Papers

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FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning

Yunbo Li, Jiaping Gui, Zhihang Deng et al.

NEURIPS 2025arXiv:2510.07664

You Only Communicate Once: One-shot Federated Low-Rank Adaptation of MLLM

Binqian Xu, Haiyang Mei, Zechen Bai et al.

FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering

Yongxin Guo, Xiaoying Tang, Tao Lin

ICML 2024arXiv:2301.12379