2026
Bozorgchenani A., Naseh D., Tarchi D., Monroy S. A. S. , Mashhadi F. and Ni Q., “Reinforcing Edge-DASH: Deep Learning for Multi-Objective Streaming Optimization,” in IEEE Transactions on Mobile Computing, vol. 25, no. 8, pp. 13213-13231, Aug. 2026, doi: 10.1109/TMC.2026.3674131.
Nevrataki, T., Radoglou-Grammatikis, P., Sarigiannidis, A., Sarigiannidis, P., & Fragulis, G. F. (2026). A Survey on Federated Learning and Edge Computing: Applications, Advantages, and Challenges. Engineering Proceedings, 143(1), 39. https://doi.org/10.3390/engproc2026143039
2025
Sygletos, D., Papatsaroucha, D., Markakis, E. K. (2025). “Developing a Near-real Time AI-based Network Intrusion Detection System” in K. Loupos (Ed.) Holistic Iot Security, Privacy and Safety: Integrated, Approaches Protecting a Highly Connected World, Now Publishers. DOI: 10.1561/978-1-63828-507-620251015 [Book chapter, Non-OA]
Andreou, A., Mavromoustakis, C. X., Markakis, E., Bourdena, A., & Mastorakis, G. (2025). UAV-Assisted IoT Network Framework with Hybrid Deep Reinforcement and Federated Learning. Scientific Reports. DOI: 10.1038/s41598-025-21014-5
Andreou, A., Mavromoustakis, C. X., Wang, H., Markakis, E., & Mastorakis, G. (2025). Smart IRS Resource Allocation for Multi-Access Edge Computing in IoT Networks. IEEE Internet of Things Magazine. DOI: 10.1109/MIOT.2025.3604245
Mboulou-Moutoubi, C. M., Ben Mazziane, Y., De Pellegrini, F., & Altman, E. (2025). Best-Response Learning in Budgeted α-Fair Kelly Mechanisms. In Proceedings of the International Conference on Network Games, Artificial Intelligence, Control and Optimization. DOI: 10.1007/978-3-032-09315-8_9
Katsaros, E., Kalitsios, G., Kazakli, A., Radoglou-Grammatikis, P., & Sarigiannidis, P. (2025). Multi-Task Learning for Video Processing: Going With the Flow. In Proceedings of the 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2025). DOI: 10.1109/DCOSS-IoT65416.2025.00079
Ben Mazziane, Y., Mboulou-Moutoubi, C. M., De Pellegrini, F., & Altman, E. (2025). Learning to Bid in Proportional Allocation Auctions with Budget Constraints. In Proceedings of the 23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt 2025). DOI: 10.23919/WiOpt66569.2025.11123293
Khayat, G., Mavromoustakis, C. X., Mastorakis, G., Bourdena, A., & Markakis, E. (2025). On the Characteristics of Next Generation Redundant Clustered Reliable Data Transmission Schemes in Critical IoT Infrastructures. Discover Internet of Things. DOI: 10.1007/s43926-025-00160-2
Andreou, A., Mavromoustakis, C. X., Markakis, E., Bourdena, A., & Mastorakis, G. (2025). Enhancing Network Slice Security with Deep Reinforcement Learning and Moving Target Defense Strategies. Discover Internet of Things. DOI: 10.1007/s43926-025-00161-1
Pietri, I., Darzanos, G., Spanos, G., Karadimou, D., Papaioannou, T., Stamoulis, G., Votis, K., & Tzovaras, D. (2025). Decentralized Management of IoT Platform Federations and Data Marketplaces. In Global Internet of Things and Edge Computing Summit (GIECS 2024). DOI: 10.1007/978-3-031-78572-6_7
Peng, P., Rui, Y., Xu, T., Zou, Y., Chen, X., Jiang, X., Zarakovitis, C. C., & Guizani, M. (2025). Blocked Job Scheduling and Redundant Computing Resource Allocation in Edge Computing Systems. IEEE Internet of Things Journal.
DOI: 10.1109/JIOT.2025.3530478 [Non-OA]
2024
Chen, X., Wu, C., Shen, Y., Ji, Y., Yoshinaga, T., Ni, Q., Zarakovitis, C. C. and Zhang, H. (2024). Communication and control co-design in 6g: Sequential decision-making with LLMs. IEEE Network, 39(4), 131-138. DOI: 10.1109/MNET.2024.3520983
Peng, P., Xu, T., Chen, X., Zarakovitis, C. C., & Wu, C. (2024). Blocked-Job-Offloading-Based Computing Resources Sharing in LEO Satellite Networks. IEEE Internet of Things Journal.
DOI: 10.1109/JIOT.2024.3491839 [Non-OA]