The IEEE Transactions on Machine Learning in Communications and Networking publishes high-quality manuscripts on advances in machine learning methods for and applications to communications and networking. Furthermore, articles developing novel communication and networking techniques for distributed machine learning algorithms are of interest. Both theoretical contributions (including new theories, techniques, concepts, algorithms, and analyses) and practical contributions (including system experiments, prototypes, and new applications) are encouraged.
General Information
Country / RegionUnited States
Primary LanguageEnglish
1st Year Published2022
StatusActive (last: 2026)
Total Publications255
Publisher OrgInstitute of Electrical and Electronics Engineers
Advanced MIMO Systems OptimizationPrivacy-Preserving Technologies in DataNetwork Security and Intrusion DetectionWireless Signal Modulation ClassificationSoftware-Defined Networks and 5GMillimeter-Wave Propagation and ModelingAdvanced Wireless Communication TechnologiesUAV Applications and OptimizationIndoor and Outdoor Localization TechnologiesCooperative Communication and Network Coding