Comprehensive Survey of Distributed Optimization: Challenges, Strategies, and Applications

Distributed Two-Stage Fixed-Time Optimization Algorithm for Formation Control of Multi-Agent System Based on Local Voting Event-Triggered Mechanism

Phy-Ture: A Physics-Guided Fusion and FeaTure Processing Framework for Unmanned Helicopter Dynamics Modeling

MG-CMIF: A Multi-Granularity Enhanced Cross-Modal Information Fusion Framework for Molecular Property Prediction

An Enhanced YOLOv8 Algorithm with C2f_Parnet for Vehicle and Pedestrian Detection

Prescription Recommendation Based on Multiview Learning with Latent Dirichlet Allocation

A Survey of Second-Order Neurodynamic Systems from Optimization Perspective

Harmonic-Suppressed BR/HR Detection in FMCW Radar via Phase Correction with APSVD and VMD-Denoising

A Multi-View Ensemble-Based Weakly Supervised Model for Skin Lesion Images Diagnosis in Dermoscopic Images

DeFL-VP: Decentralized Federated Learning with Variance Reduction and Differential Privacy

Joint Optimization for Dependency-Aware Computation-Offloading and Cooperative Service-Caching in Edge Computing

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

Inaugural Issue for Journal of Machine Learning and Information Security

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