Uncertainty-Gated Mixture Modeling for Anomaly Detection in Human-in-the-Loop Vehicle Systems

DP-SoftShape: Adaptive Differential Privacy via Attention-Guided Sparsification for Time-Series Classification

A Benders Dual Decomposition Approach to Fast-Charging Station Planning Problem

Fixed-Time Consensus of Nonlinear Multi-Agent Systems with Uncertain Disturbances via Saturation Constraint Impulsive Control

Singularity-Free Prescribed-Time Distributed Optimization for Nonlinear Multi-Agent Systems with Time-Varying Cost Functions

DeadMap: Open Yet Locked—Key-Controlled Dataset Protection with Feature-Level Collisions

A Survey of Learning in Optimal Control and Differential Game

An Enhanced Security Data Transmission Scheme for Wireless Medical Sensor Network

Prescribed-Time Projective Synchronization for Different Dimensional Complex Networks via Fuzzy Reinforcement Learning

Data-Based Optimal Couple-Group Consensus Control for Heterogeneous Multi-Agent Systems via Policy Gradient Reinforcement Learning

Bayesian Local Differential Privacy for Implicit Feedback Recommendation

CERL: Evolutionary Reinforcement Learning for Partitioned Collaborative Inference on On-Device Models

FedFE: A Fairness-Equilibrium Framework for Federated Learning Systems

Secure Edge Data Auditing with Multiple Vendors and Servers

A Dynamic Countermeasure-Based Worm Propagation Model in Wireless Sensor Networks: Critical Threshold Analysis and Validation of Benign Worm Effectiveness

Inaugural Issue for Journal of Machine Learning and Information Security