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.

Bibliografske podrobnosti
Main Authors:	Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Drugi avtorji:	Alam, Md. Golam Rabiul
Format:	Thesis
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 dostop:	http://hdl.handle.net/10361/15208

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