Announcement_4

Our paper titled CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss has been accepted for publication at prestigious CVPR 2023 (the IEEE/CVF Conference on Computer Vision and Pattern Recognition), Vancouver, Canada.