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.

Detaylı Bibliyografya
Yazar: Hasan, Nahid
Diğer Yazarlar: Alam, Md. Golam Rabiul
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2024
Konular:
Federated learning
Unsupervised learning
Auto-encoder
Fusion strategy
Multisensor data fusion.
Electronic data processing > Distributed processing.
Neural networks (Computer science).
Data mining
Online Erişim:http://hdl.handle.net/10361/24039

Internet

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

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