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#machine learning Preprint Aug 2026

Federated Compositional Muon Optimizer for Matrix-Wise Models

This work proposes an effective federated compositional Muon (FedCoMuon) optimizer to solve distributed matrix-wise compositional optimization problems and proposes a variance reduced variant of FedCoMuon (FedCoMuon-VR) based on a momentum-based variance reduced technique.

Wang Yan, Feihu Huang · 0 citations