Distributionally Robust Federated Learning with Multi-Source Data
cs.LG, math.OC
Submitted: 2026-09-17
Updated: 2026-09-17
Comments: 11 pages, 2 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond
- Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
- Group Distributionally Robust Machine Learning under Group Level Distributional Uncertainty
- Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
- On the Generalization of Wasserstein Robust Federated Learning
- Distributionally Robust Federated Learning with Outlier Resilience
- Certifying Some Distributional Robustness with Principled Adversarial Training
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