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.

Библиографические подробности
Главные авторы:	Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Другие авторы:	Alam, Md. Golam Rabiul
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2021
Предметы:	Federated Learning Edge Computing Edge Caching Content Prediction Long Short Term Memory Decentralized Learning System Cache-Hit Ratio Edge computing.
Online-ссылка:	http://hdl.handle.net/10361/15208

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