Abegaz Mohammed Seid
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas.
IEEE Open J. Commun. Soc., 2024
2023
Truthful Incentive Mechanism Design via Internalizing Externalities and LP Relaxation for Vertical Federated Learning.
IEEE Trans. Comput. Soc. Syst., December, 2023
Actor-Aware Self-Supervised Learning for Semi-Supervised Video Representation Learning.
IEEE Trans. Circuits Syst. Video Technol., November, 2023
Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Cogn. Commun. Netw., August, 2023
Fair Selection of Edge Nodes to Participate in Clustered Federated Multitask Learning.
IEEE Trans. Netw. Serv. Manag., June, 2023
Blockchain-Based Resource Trading in Multi-UAV-Assisted Industrial IoT Networks: A Multi-Agent DRL Approach.
IEEE Trans. Netw. Serv. Manag., March, 2023
Multiagent Federated Reinforcement Learning for Resource Allocation in UAV-Enabled Internet of Medical Things Networks.
IEEE Internet Things J., 2023
HDFRL-empowered Energy Efficient Resource Allocation for Aerial MEC-enabled Smart City Cyber Physical System in 6G.
Proceedings of the International Wireless Communications and Mobile Computing, 2023
REED: Enhanced Resource Allocation and Energy Management in SDN-Enabled Edge Computing-Based Smart Buildings.
Proceedings of the International Wireless Communications and Mobile Computing, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
Consensus Mechanism for Blockchain-Enabled Vehicle-to-Vehicle Energy Trading in the Internet of Electric Vehicles.
IEEE Trans. Veh. Technol., 2022
Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G.
IEEE Trans. Netw. Serv. Manag., 2022
Deep Reinforcement Learning-Based Mobility-Aware UAV Content Caching and Placement in Mobile Edge Networks.
IEEE Syst. J., 2022
Blockchain-Enabled Task Offloading With Energy Harvesting in Multi-UAV-Assisted IoT Networks: A Multi-Agent DRL Approach.
IEEE J. Sel. Areas Commun., 2022
FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network.
Proceedings of the IEEE Global Communications Conference, 2022
2021
Multi-Agent DRL for Task Offloading and Resource Allocation in Multi-UAV Enabled IoT Edge Network.
IEEE Trans. Netw. Serv. Manag., 2021
Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2021
Autonomous RACH Resource Slicing for Heterogeneous IoT Devices Communication Using Deep Reinforcement Learning.
Proceedings of the International Conference on Information and Communication Technology for Development for Africa, 2021
Taking Heuristic Based Graph Edge Partitioning One Step Ahead via OffStream Partitioning Approach.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021