
Editor-in-Chief: Prof. Xiaofeng Liao, Chongqing University, China.
The Journal of Machine Learning and Information Security (JMLIS) aims to be one of the world's premier journals for disseminating cutting-edge research in the broad domains of advanced Machine Learning and Information Security. It will cover feature, perspective and review articles, alongside original research, focusing on the advanced theories and practical applications in mathematics, computer science, electronic information, industrial engineering, control science, communication engineering, and other fields. It is anticipated to serve as the hub for sharing knowledge among researchers. It is published quarterly online by Scilight Press. More
Fixed-Time Consensus of Nonlinear Multi-Agent Systems with Uncertain Disturbances via Saturation Constraint Impulsive Control
Shasha Yang, Lili Zhang, Jie Wang, Xinxin Jiang, Lianghao Ji
2026, 2(1): 7. doi: 10.53941/jmlis.2026.100007
Singularity-Free Prescribed-Time Distributed Optimization for Nonlinear Multi-Agent Systems with Time-Varying Cost Functions
Huan Wang, Tao Dong, Yihan Yang, Tiancheng Liu, Aijuan Wang
2026, 2(1): 6. doi: 10.53941/jmlis.2026.100006
DeadMap: Open Yet Locked—Key-Controlled Dataset Protection with Feature-Level Collisions
Ting Yang, Mahabubur Rahman Miraj, Xinyu Lei, Nankun Mu, Hongyu Huang
2026, 2(1): 5. doi: 10.53941/jmlis.2026.100005
A Survey of Learning in Optimal Control and Differential Game
Yuxuan Zhu, Chuandong Li, Runtian Zeng
2026, 2(1): 4. doi: 10.53941/jmlis.2026.100004
An Enhanced Security Data Transmission Scheme for Wireless Medical Sensor Network
Xi Chen, Chunqiang Hu, Yuwen Chen, Xiaofeng Xia, Bin Cai, Jiguo Yu
2026, 2(1): 3. doi: 10.53941/jmlis.2026.100003
Prescribed-Time Projective Synchronization for Different Dimensional Complex Networks via Fuzzy Reinforcement Learning
Xin Qu, Tao Dong
2026, 2(1): 2. doi: 10.53941/jmlis.2026.100002
Data-Based Optimal Couple-Group Consensus Control for Heterogeneous Multi-Agent Systems via Policy Gradient Reinforcement Learning
Jun Li, Xiaoyu Pei, Lianghao Ji
2026, 2(1): 1. doi: 10.53941/jmlis.2026.100001
Yukun Shao, Yang Li, Baiqiang Wu
2025, 1(1): 7. doi: 10.53941/jmlis.2025.100007
Bayesian Local Differential Privacy for Implicit Feedback Recommendation
Hao Tang, Yong Wang, Bo Li, Jiangzhou Deng, Zhiqiang Zhang
2025, 1(1): 6. doi: 10.53941/jmlis.2025.100006
CERL: Evolutionary Reinforcement Learning for Partitioned Collaborative Inference on On-Device Models
Lin Tan, Songtao Guo, Pengzhan Zhou, Zhufang Kuang
2025, 1(1): 5. doi: 10.53941/jmlis.2025.100005