Author

G. Chirkov

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#machine learning Preprint Oct 2026

Bridging Compressed Communication and Local Steps via Spectral Method in Federated Learning

Federated Learning (FL) enables collaborative training of complex models across large-scale networks of edge devices while keeping data localized. However, data heterogeneity and high communication overhead remain fundamental bottlenecks. Recently, the spectral optimizer Muon has demonstrated remarkable advantages over...

Dmitriy Bystrov, G. Chirkov, D. Medyakov et al. · 0 citations