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.

Bibliografiset tiedot
Päätekijät:	Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Muut tekijät:	Alam, Md. Golam Rabiul
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2021
Aiheet:	Federated Learning Edge Computing Edge Caching Content Prediction Long Short Term Memory Decentralized Learning System Cache-Hit Ratio Edge computing.
Linkit:	http://hdl.handle.net/10361/15208

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