PACMNET V3, N1, March 2025 Editorial

The Proceedings of the ACM on Networking (PACMNET) series showcases top-tier research in emerging computer networks and their applications. We welcome submissions introducing new technologies, innovative experiments, creative applications of networking technologies, and fresh insights gained through analysis. Supported by the ACM Special Interest Group on Communications and Computer Networks (SIGCOMM), the journal is backed by a distinguished Editorial Board composed of leading researchers in the field. This issue begins the third volume of PACMNET. It features 6 articles, all submitted by the June 2024 deadline when 121 submissions in total were received. Each submission underwent a thorough review process involving over 80 Editors, coordinated by two Associate Editors. In the initial phase, every article received a minimum of three reviews. Following an online discussion, roughly half of the submissions were rejected, while the other half advanced to a second review phase. In this phase, Editors produced at least two additional reviews per article. After further discussion and remote Editors' meeting, 8 articles were given one-shot major revision. The same Editors reviewed the revised version the Authors prepared, and 6 out of 8 articles were finally selected. These 6 articles appear in this issue. Topics include network support for large language models and deep learning, security, and wireless networking. All papers include a thorough set of experiments to validate the proposed solutions. From a methodological perspective, machine learning and artificial intelligence-based solutions are becoming central in developing novel networking solutions. We want to express our gratitude to all those who contributed to this issue of PACMNET, especially the Authors for submitting their finest work and the Associate Editors for offering valuable feedback in their reviews and engaging in the discussions. Our thanks also go to the SIGCOMM Executive Committee Chair and the CoNEXT Steering Committee members for their continued support and guidance, providing essential suggestions and insights throughout the article selection process.