Local updates accelerate the DIGing algorithm in distributed optimization, with maximal gains from two updates that depend on network spectral properties.
Guaranteeing both consens us and optimality in decentralized nonconvex optimization with m ultiple local updates,
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Local Updates in Distributed Optimization: Provable Acceleration and Topology Effects
Local updates accelerate the DIGing algorithm in distributed optimization, with maximal gains from two updates that depend on network spectral properties.