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Incentives in Federated Learning with Heterogeneous Agents

Fuente: arXiv

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Bibliographic Details
Main Authors:	Procaccia, Ariel D., Shao, Han, Shapira, Itai
Format:	Preprint
Published:	2025
Subjects:	Computer Science and Game Theory I.2.6
Online Access:	Acceder al recurso
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