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.

Библиографические подробности
Главный автор: Hasan, Nahid
Другие авторы: Alam, Md. Golam Rabiul
Формат: Диссертация
Язык:English
Опубликовано: Brac University 2024
Предметы:
Federated learning
Unsupervised learning
Auto-encoder
Fusion strategy
Multisensor data fusion.
Electronic data processing > Distributed processing.
Neural networks (Computer science).
Data mining
Online-ссылка:http://hdl.handle.net/10361/24039

Internet

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

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