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.

Bibliografski detalji
Glavni autori: Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Daljnji autori: Alam, Md. Golam Rabiul
Format: Disertacija
Jezik:English
Izdano: Brac University 2021
Teme:
Federated Learning
Edge Computing
Edge Caching
Content Prediction
Long Short Term Memory
Decentralized Learning System
Cache-Hit Ratio
Edge computing.
Online pristup:http://hdl.handle.net/10361/15208

Internet

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

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