Official Repository for ResSFL (accepted by CVPR '22)
-
Updated
Jun 24, 2022 - Shell
Official Repository for ResSFL (accepted by CVPR '22)
Model-SL is an innovative project that implements Split Learning with adaptive encryption and decryption models. These models are parameterized and run locally on user devices, leveraging **user history data** to train and fine-tune their parameters, enabling personalized and robust encryption-decryption mechanisms.
Add a description, image, and links to the split-learning topic page so that developers can more easily learn about it.
To associate your repository with the split-learning topic, visit your repo's landing page and select "manage topics."