Personalized Federated Learning Algorithm with Adaptive Clustering for Non-IID IoT Data Incorporating Multi-Task Learning and Neural Network Model Characteristics

The proliferation of IoT devices has led to an unprecedented integration of machine learning techniques, raising concerns about data privacy. To address these concerns, federated learning has been introduced. However, practical implementations face challenges, including communication costs, data and...

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Autors principals:	Hua-Yang Hsu, Kay Hooi Keoy, Jun-Ru Chen, Han-Chieh Chao, Chin-Feng Lai
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-11-01
Col·lecció:	Sensors
Matèries:	Non-IID IoT data adaptive clustering personalized federated learning
Accés en línia:	https://www.mdpi.com/1424-8220/23/22/9016
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