IEEE

Deep Leakage From Horizontal Federated Sequential Recommender Systems

Abstract: Shared gradients are extensively utilized for safeguarding the privacy of training data. However, an increasing body of research is uncovering that the gradients or model parameters ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Deep Learning with Yacine on MSN

Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
IEEE

Securing Networks Against Adversarial Domain Name System Tunneling Attacks Using Hybrid Neural Networks

Abstract: Domain name system tunneling is one of the emerging threats that use Domain name system (DNS) to transfer unwanted material, and it is usually undetected by conventional detection systems.
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...