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...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Norah Alrusayni, Asma A. Al-Shargabi
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2026-04-01
Serier:	Future Internet
Fag:	split learning federated learning edge intelligence edge computing edge–cloud communication Internet of Things (IoT)
Online adgang:	https://www.mdpi.com/1999-5903/18/4/213
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!