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20232026
most citedFedGIN: Federated Learning with Dynamic Global Intensity Non-linear Augmentation for Organ Segmentation using Multi-modal Images

2 citations · 5 across the 7 of their papers we have counts for

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cs.LG2025

Federated Smoothing ADMM for Localization

Reza Mirzaeifard, Ashkan Moradi, Masahiro Yukawa +1

This paper addresses the challenge of localization in federated settings, which are characterized by distributed data, non-convexity, and non-smoothness. To tackle the scalability…