Federated Learning of Neural ODE Models with Different Iteration Counts

Federated learning is a distributed machine learning approach in which clients train models locally with their own data and upload them to a server so that their trained results are shared between them without uploading raw data to the server. There are some challenges in federated learning, such as...

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Veröffentlicht in:	IEICE Transactions on Information and Systems 2024/06/01, Vol.E107.D(6), pp.781-791
Hauptverfasser:	HOSHINO, Yuto, KAWAKAMI, Hiroki, MATSUTANI, Hiroki
Format:	Artikel
Sprache:	eng
Schlagworte:	Clients Communication Federated learning Heterogeneity Machine learning neural networks neural ODE Servers Size reduction
Online-Zugang:	Volltext
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