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.

Bibliografiset tiedot
Päätekijä: Hasan, Nahid
Muut tekijät: Alam, Md. Golam Rabiul
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2024
Aiheet:
Federated learning
Unsupervised learning
Auto-encoder
Fusion strategy
Multisensor data fusion.
Electronic data processing > Distributed processing.
Neural networks (Computer science).
Data mining
Linkit:http://hdl.handle.net/10361/24039

Internet

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

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