Author

Du-Xin Che

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#machine learning Preprint Sep 2026

SPADE-DFL: Communication-Efficient Decentralized Federated Learning via Derivative-Free Linearized ADMM

SPADE-DFL is developed, a primal--dual method that allows the number of local function-value updates between neighbor exchanges to grow with the computation budget while preserving the nonprivate convergence order.

Meng-Li Wei, Meng-Kai Zhu, Jia-Wen Chen et al. · 0 citations