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.

Bibliografische gegevens
Hoofdauteurs: Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Andere auteurs: Alam, Md. Golam Rabiul
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2021
Onderwerpen:
Federated Learning
Edge Computing
Edge Caching
Content Prediction
Long Short Term Memory
Decentralized Learning System
Cache-Hit Ratio
Edge computing.
Online toegang:http://hdl.handle.net/10361/15208

Internet

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

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