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pro vyhledávání: '"Atapour, S. Kawa"'
Autor:
Atapour, S. Kawa, SeyedMohammadi, S. Jamal, Sheikholeslami, S. Mohammad, Abouei, Jamshid, Plataniotis, Konstantinos N., Mohammadi, Arash
Recently pre-trained Foundation Models (FMs) have been combined with Federated Learning (FL) to improve training of downstream tasks while preserving privacy. However, deploying FMs over edge networks with resource-constrained Internet of Things (IoT
Externí odkaz:
http://arxiv.org/abs/2409.09273
Federated Learning (FL) has emerged as a prominent alternative to the traditional centralized learning approach. Generally speaking, FL is a decentralized approach that allows for collaborative training of Machine Learning (ML) models across multiple
Externí odkaz:
http://arxiv.org/abs/2403.11892