
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
Yukun Shao, Yang Li, Baiqiang Wu
2025, 1(1): 7
Bayesian Local Differential Privacy for Implicit Feedback Recommendation
Hao Tang, Yong Wang, Bo Li, Jiangzhou Deng, Zhiqiang Zhang
2025, 1(1): 6
CERL: Evolutionary Reinforcement Learning for Partitioned Collaborative Inference on On-Device Models
Lin Tan, Songtao Guo, Pengzhan Zhou, Zhufang Kuang
2025, 1(1): 5
FedFE: A Fairness-Equilibrium Framework for Federated Learning Systems
Yuncheng Ge, Hanlin Li, Huiwei Wang
2025, 1(1): 4
Secure Edge Data Auditing with Multiple Vendors and Servers
Zifeng Qin, Haojun Miao, Fei Chen
2025, 1(1): 3
A Dynamic Countermeasure-Based Worm Propagation Model in Wireless Sensor Networks: Critical Threshold Analysis and Validation of Benign Worm Effectiveness
Liping Feng, Yaojun Hao, Qinshan Zhao, Peng Wei
2025, 1(1): 2
Inaugural Issue for Journal of Machine Learning and Information Security
Xiaofeng Liao
2025, 1(1): 1