Heterogeneity-Aware Dynamic Federated Split Learning with Adaptive Compression (HADFL-AC) Edge–Cloud Inference in IoT Environments

In resource-constrained environments, distributed split learning allows for collaborative training; however, the system suffers from high communication overhead and is sensitive to system heterogeneity. Despite advances in IoT data reduction and distributed learning, existing approaches treat hetero...

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Bibliografske podrobnosti

Principais autores:	Norah Alrusayni, Asma A. Al-Shargabi
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2026-04-01
Serija:	Future Internet
Teme:	split learning federated learning edge intelligence edge computing edge–cloud communication Internet of Things (IoT)
Online dostop:	https://www.mdpi.com/1999-5903/18/4/213
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