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Distributed mediation analysis with communication efficiency

NeurIPS 2025 · Federated learning and privacy › Communication-efficient FL · approach: Decentralized peer-to-peer training · 0 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.

Proposes distributed versions of the Sobel's test and MaxP test for communication-efficient mediation analysis across worker machines.

Problem

Mediation analysis when data are stored and processed across distributed worker machines due to storage limits or privacy concerns, requiring communication-efficient testing.

Approach

Extends the classic Sobel's test and MaxP test to a distributed setting, yielding communication-efficient, easy-to-implement distributed Sobel's and distributed MaxP tests.

Experimental setup

Builds on: Sobel's test MaxP test

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