Federated Learning on Non-IID Data Silos: An Experimental Study

3 February 2021

Papers citing "Federated Learning on Non-IID Data Silos: An Experimental Study"

7 / 7 papers shown

Title
Rethinking Federated Graph Learning: A Data Condensation Perspective Hao Zhang Xunkai Li Y. X. Zhu Lianglin Hu FedML DD AI4CE 30 0 0 05 May 2025
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging Youngjoon Lee J. Gong Joonhyuk Kang FedML 32 27 0 28 Apr 2025
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation Qianren Mao Qili Zhang Hanwen Hao Zhentao Han Runhua Xu ... Bo Li Y. Song Jin Dong Jianxin Li Philip S. Yu 34 1 0 27 Apr 2025
Evaluating Membership Inference Attacks in heterogeneous-data setups Bram van Dartel Marc Damie Florian Hahn MIACV MIALM 68 0 0 26 Feb 2025
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 143 631 0 15 Feb 2021
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 60 91 0 20 Oct 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 138 465 0 27 Jul 2020