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Federated Multi-armed Bandits with Efficient Bit-Level Communications

NeurIPS 2025 · Bandits and online learning › Multi-armed bandits · approach: Multi-agent bandits · 1 citations (OpenAlex)

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AI-extracted summary. Written by AI from the paper's abstract only. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Studies federated multi-armed bandits where distributed agents on a communication graph minimize cumulative regret while communicating under bandwidth limits, using bit-level communication.

Problem

Federated multi-armed bandits in which agents connected by a communication graph must minimize cumulative regret while sharing data is limited by bandwidth and privacy constraints.

Approach

Communication-efficient federated bandit algorithm that exchanges information at the bit level rather than full data or parameters, as stated in the title; specific mechanism not stated in the abstract provided.

Experimental setup

Metrics: cumulative regret

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