A Supernet-Only Framework for Federated Learning in Computationally Heterogeneous Scenarios

A Supernet-Only Framework for Federated Learning in Computationally Heterogeneous Scenarios

Federated learning is effective for Internet of Things data privacy and non-independent and identically distributed issues but not device heterogeneity. Neural Architecture Search can alleviate this by constructing multiple model structures to optimize federated learning performance across diverse e...

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Bibliographic Details
Main Authors: Yu Chen, Danyang Chen, Cheng Zhong
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
federated learning
neural architecture search
device heterogeneity
Online Access:https://www.mdpi.com/2076-3417/15/10/5666
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