3 papers
cs.LG2025
Towards Undistillable Models by Minimizing Conditional Mutual Information
Linfeng Ye, Shayan Mohajer Hamidi, En-hui Yang
A deep neural network (DNN) is said to be undistillable if, when used as a black-box input-output teacher, it cannot be distilled through knowledge distillation (KD). In this case,…
cs.CV2025
JPEG Compliant Compression for Both Human and Machine, A Report
Linfeng Ye
Deep Neural Networks (DNNs) have become an integral part of our daily lives, especially in vision-related applications. However, the conventional lossy image compression algorithms…
cs.LG2025
Distributed Quasi-Newton Method for Fair and Fast Federated Learning
Shayan Mohajer Hamidi, Linfeng Ye
Federated learning (FL) is a promising technology that enables edge devices/clients to collaboratively and iteratively train a machine learning model under the coordination of a ce…