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.

מידע ביבליוגרפי
Main Authors: Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
מחברים אחרים: Alam, Md. Golam Rabiul
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2021
נושאים:
Federated Learning
Edge Computing
Edge Caching
Content Prediction
Long Short Term Memory
Decentralized Learning System
Cache-Hit Ratio
Edge computing.
גישה מקוונת:http://hdl.handle.net/10361/15208

אינטרנט

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

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