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Talk Less, Work More: Communication-Efficient Decentralized Stochastic Approximation

NeurIPS 2026 · Optimization › Distributed and compressed · approach: Compressed distributed optimization

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Proposes a decentralized stochastic approximation method where each agent performs H local updates between communication rounds to reduce communication cost for cooperative fixed-point solving.

Problem

Decentralized stochastic approximation for fixed-point solving over mesh networks without a central server, where communication is the main bottleneck relative to cheap local updates.

Approach

Each agent performs H local updates before each communication round, trading frequent coordination for cheaper local computation to reduce communication cost.

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