- Yi-Cheng Chen, Wang-Chien Lee. A Novel Cross-Domain Recommendation with Evolution Learning. ACM Trans. Internet Techn., 24(1), February 2024.
- Shuming Fan, Hongjian Shi, Chenpei Wang, Ruhui Ma, Xiaoming Wang. RFL-LSU: A Robust Federated Learning Approach with Localized Stepwise Updates. ACM Trans. Internet Techn., 24(4):1-26, 2024.
- Ali Akbar Vali, Sadoon Azizi, Mohammad Shojafar. RESP: A Recursive Clustering Approach for Edge Server Placement in Mobile Edge Computing. ACM Trans. Internet Techn., 24(3):1-25, 2024.
- Mohammed Jasim, Nazli Siasi. Local Load Migration in High-Capacity Fog Computing. ACM Trans. Internet Techn., 24(4):1-31, 2024.
- Akrit Mudvari, Antero Vainio, Iason Ofeidis, Sasu Tarkoma, Leandros Tassiulas. Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency. ACM Trans. Internet Techn., 24(4):1-26, 2024.
- Yanming Chen 0002, Tong Luo, Weiwei Fang, Neal Naixue Xiong. EdgeCI: Distributed Workload Assignment and Model Partitioning for CNN Inference on Edge Clusters. ACM Trans. Internet Techn., 24(2), May 2024.
- Zhiyi Song, Dipankar Chaki, Abdallah Lakhdari, Athman Bouguettaya. Positional Encoding-based Resident Identification in Multi-resident Smart Homes. ACM Trans. Internet Techn., 24(1), February 2024.
- Aswani Devi Aguru, Erukala Suresh Babu. OTI-IoT: A Blockchain-based Operational Threat Intelligence Framework for Multi-vector DDoS Attacks. ACM Trans. Internet Techn., 24(3):1-31, 2024.
- Simon Mayer, Arne Broering, Kimberly García, Konstantinos Fysarakis, Beatriz Soret. Introduction to the Special Issue on Distributed Intelligence on the Internet. ACM Trans. Internet Techn., 24(4):1, 2024.
- Arturo Barriga, José A. Barriga, Miguel Ángel Pérez Toledano, Pedro J. Clemente. Model-Driven Development Towards Distributed Intelligent Systems. ACM Trans. Internet Techn., 24(4):1-28, 2024.