AI RESEARCH
Privacy-Preserving Distributed Learning in IoT Systems: A Unified Threat Model and Evaluation Framework
arXiv CS.LG
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ArXi:2605.09232v1 Announce Type: cross The increasing deployment of Internet-of-Things (IoT) devices has accelerated the use of distributed learning frameworks, where data remains local while model updates are shared across decentralized systems. Although this reduces centralized data collection, it This paper presents a structured analysis of privacy-preserving techniques for distributed learning in IoT environments.