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.

Dades bibliogràfiques
Autor principal: Hasan, Nahid
Altres autors: Alam, Md. Golam Rabiul
Format: Thesis
Idioma:English
Publicat: Brac University 2024
Matèries:
Federated learning
Unsupervised learning
Auto-encoder
Fusion strategy
Multisensor data fusion.
Electronic data processing > Distributed processing.
Neural networks (Computer science).
Data mining
Accés en línia:http://hdl.handle.net/10361/24039

Internet

http://hdl.handle.net/10361/24039

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