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.

Opis bibliograficzny
1. autor: Hasan, Nahid
Kolejni autorzy: Alam, Md. Golam Rabiul
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2024
Hasła przedmiotowe:
Federated learning
Unsupervised learning
Auto-encoder
Fusion strategy
Multisensor data fusion.
Electronic data processing > Distributed processing.
Neural networks (Computer science).
Data mining
Dostęp online:http://hdl.handle.net/10361/24039

Internet

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

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