IEEE

Training and Algorithm Optimization of Stable Pendulum Motion of Cart Based on BP Neural Network and Gradient Descent Method

Abstract: BP neural network is using gradient descent method to continuously adjust the weights and thresholds between the input layer and the hidden layer, so that ...
IEEE

Differential Privacy Enabled Robust Asynchronous Federated Multitask Learning: A Multigradient Descent Approach

Abstract: The federated learning (FL) technique can provide a promising solution for the timely training of a deep learning model with the critical requirement of privacy protection. However, the ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
GitHub

SDPG: Self-Distilled Policy Gradient

SDPG is the main contribution. It extends GRPO with an exact per-token forward KL between the actor (without privileged context) and itself conditioned on privileged context c: ...