LSTM based content prediction for edge caching using federated learning approach

LSTM based content prediction for edge caching using federated learning approach

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Opis bibliograficzny
Główni autorzy: Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Kolejni autorzy: Alam, Md. Golam Rabiul
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2021
Hasła przedmiotowe:
Federated Learning
Edge Computing
Edge Caching
Content Prediction
Long Short Term Memory
Decentralized Learning System
Cache-Hit Ratio
Edge computing.
Dostęp online:http://hdl.handle.net/10361/15208

Internet

http://hdl.handle.net/10361/15208

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