ZO-COSMO: Index-Free One-Hop Mixing for Decentralized Zeroth-Order Optimization
Sparse communication in decentralized zeroth-order learning requires compatible peer-state coordinates. We characterize this one-hop condition and develop \textsf{ZO-COSMO}, coupling two-query estimation with average-preserving masked consensus using $q$ values per active link. Global supports serve all-neighbor mixing...
Sheng-Jun Zhang, Ting Liu, Heng Zhang et al.
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