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Masoud Daneshtalab

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Preprint Aug 2026

FEAST: Federated Shared-Space Training for Resource-Heterogeneous Clients

FEAST is proposed, a federated shared-space training framework that counters this imbalance by jointly training multiple subnetworks within each client's limit by introducing a one-parameter $\gamma$-allocation protocol to control this coupling.

Bostan Khan, Masoud Daneshtalab · 0 citations