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20222025
most citedEnd-to-End Learning for Stochastic Optimization: A Bayesian Perspective

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cs.LG2025

Global Group Fairness in Federated Learning via Function Tracking

Yves Rychener, Daniel Kuhn, Yifan Hu

We investigate group fairness regularizers in federated learning, aiming to train a globally fair model in a distributed setting. Ensuring global fairness in distributed training p…