On the Gradient Heterogeneity Dynamics of Adversarially Robust Federated Regression
arXiv:2609.25705v1 Announce Type: new Abstract: Federated learning (FL) is intrinsically heterogeneous: honest clients may have different data-generating models. On top of that, adversarial clients can make heterogeneity even more pronounced by sharing arbitrary updates. Existing analyses typically…
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- 2026-09-23 04:00 · arXiv stat.ML
On the Gradient Heterogeneity Dynamics of Adversarially Robust Federated Regression