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.

Detaylı Bibliyografya
Asıl Yazarlar: Mazumder, Shafkat Ahmed, Paul, Piash, ZUBAIR, DIN MOHAMMAD, Haque, Maksudul, Mayukh, Jidni
Diğer Yazarlar: Alam, Md. Golam Rabiul
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2021
Konular:
Federated Learning
Edge Computing
Edge Caching
Content Prediction
Long Short Term Memory
Decentralized Learning System
Cache-Hit Ratio
Edge computing.
Online Erişim:http://hdl.handle.net/10361/15208

Internet

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

Benzer Materyaller