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.
| Auteurs principaux: | Bhuiyan, Emtiaz MD Tafsir, Rahman, Mushfiqur, Mondal, Sudipta, Warech, Sadman |
|---|---|
| Autres auteurs: | Hossain, Muhammad Iqbal |
| Format: | Thèse |
| Langue: | English |
| Publié: |
Brac University
2021
|
| Sujets: | |
| Accès en ligne: | http://hdl.handle.net/10361/14982 |
Documents similaires
-
Traffic congestion reduction in SUMO using reinforcement learning method
par: Mouly, Radia Rahman, et autres
Publié: (2021) -
Reinforcement learning based autonomous vehicle for exploration and exploitation of undiscovered track
par: Issa, Razin Bin, et autres
Publié: (2020) -
Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games
par: Mahmud, Aqil, et autres
Publié: (2023) -
An advanced data fabric architecture leveraging homomorphic encryption and federated learning
par: Rieyan, Sakib Anwar, et autres
Publié: (2023) -
Enhancing object clarity in single channel night vision images using deep reinforcement learning
par: Hossain, Adil, et autres
Publié: (2021)