Implementation of real-time learning on homomorphically encrypted visual inputs
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
主要な著者: | Bhuiyan, Emtiaz MD Tafsir, Rahman, Mushfiqur, Mondal, Sudipta, Warech, Sadman |
---|---|
その他の著者: | Hossain, Muhammad Iqbal |
フォーマット: | 学位論文 |
言語: | English |
出版事項: |
Brac University
2021
|
主題: | |
オンライン・アクセス: | http://hdl.handle.net/10361/14982 |
類似資料
-
Traffic congestion reduction in SUMO using reinforcement learning method
著者:: Mouly, Radia Rahman, 等
出版事項: (2021) -
Reinforcement learning based autonomous vehicle for exploration and exploitation of undiscovered track
著者:: Issa, Razin Bin, 等
出版事項: (2020) -
Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games
著者:: Mahmud, Aqil, 等
出版事項: (2023) -
An advanced data fabric architecture leveraging homomorphic encryption and federated learning
著者:: Rieyan, Sakib Anwar, 等
出版事項: (2023) -
Enhancing object clarity in single channel night vision images using deep reinforcement learning
著者:: Hossain, Adil, 等
出版事項: (2021)