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papersTODAY 04:00 UTC

Paper Proposes Mechanism-Architecture Co-Design for Client Participation in Federated Learning

A new arXiv preprint examines individual rationality in federated learning, where clients weigh privacy, communication, and computation costs against possible model quality gains. The authors introduce a pathwise notion of individual rationality and co-design incentive mechanisms together with system architecture. The work aims to keep participation worthwhile for clients while preserving training outcomes.

arXiv client participation federated learning incentive mechanisms individual rationality mechanism-architecture co-design

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arXiv cs.LGPathwise Individual Rationality in Federated Learning: A Mechanism-Architecture Co-Design ↗TODAY 04:00 UTC