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.

Podrobná bibliografie
Hlavní autor:	Hasan, Nahid
Další autoři:	Alam, Md. Golam Rabiul
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2024
Témata:	Federated learning Unsupervised learning Auto-encoder Fusion strategy Multisensor data fusion. Electronic data processing > Distributed processing. Neural networks (Computer science). Data mining
On-line přístup:	http://hdl.handle.net/10361/24039

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