IEEE

Dynamic Multi-Level Competition Learning-Based Dual-Task Optimization for High-Dimensional Feature Selection

Abstract: Feature selection (FS) is a critical task in data science and machine learning, presenting significant challenges in high-dimensional settings due to the complexity and noise inherent in ...
IEEE

Securing Federated Learning Against Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection on Local Updates

Abstract: Current defense mechanisms against model poisoning attacks in federated learning (FL) systems have proven effective up to a certain threshold of malicious clients (e.g., 25% to 50%). In this ...