An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy

An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2024.

書目詳細資料
主要作者:	Hasan, Nahid
其他作者:	Alam, Md. Golam Rabiul
格式:	Thesis
語言:	English
出版:	Brac University 2024
主題:	Federated learning Unsupervised learning Auto-encoder Fusion strategy Multisensor data fusion. Electronic data processing > Distributed processing. Neural networks (Computer science). Data mining
在線閱讀:	http://hdl.handle.net/10361/24039

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