Aidin Ferdowsi
Orcid: 0000-0003-1353-3685
According to our database1,
Aidin Ferdowsi
authored at least 30 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation.
IEEE Wirel. Commun., August, 2024
Brainstorming Generative Adversarial Network (BGAN): Toward Multiagent Generative Models With Distributed Data Sets.
IEEE Internet Things J., 2024
2022
Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks.
IEEE Trans. Wirel. Commun., 2022
2021
IEEE Trans. Commun., 2021
Neural Combinatorial Deep Reinforcement Learning for Age-Optimal Joint Trajectory and Scheduling Design in UAV-Assisted Networks.
IEEE J. Sel. Areas Commun., 2021
IEEE Internet Things J., 2021
Interdependence-Aware Game-Theoretic Framework for Secure Intelligent Transportation Systems.
IEEE Internet Things J., 2021
Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning.
CoRR, 2021
Distributed Generative Adversarial Networks for mmWaveChannel Modeling in Wireless UAV Networks.
CoRR, 2021
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021
Distributed Generative Adversarial Networks for mmWave Channel Modeling in Wireless UAV Networks.
Proceedings of the ICC 2021, 2021
Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021
2020
Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications.
IEEE Trans. Commun., 2020
Drones in Distress: A Game-Theoretic Countermeasure for Protecting UAVs Against GPS Spoofing.
IEEE Internet Things J., 2020
Brainstorming Generative Adversarial Networks (BGANs): Towards Multi-Agent Generative Models with Distributed Private Datasets.
CoRR, 2020
2019
IEEE Wirel. Commun., 2019
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems: An Overview.
IEEE Veh. Technol. Mag., 2019
Deep Learning for Signal Authentication and Security in Massive Internet-of-Things Systems.
IEEE Trans. Commun., 2019
Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning.
IEEE Trans. Commun., 2019
Generative Adversarial Networks for Distributed Intrusion Detection in the Internet of Things.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Deep Reinforcement Learning for Minimizing Age-of-Information in UAV-Assisted Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Artificial Intelligence for Wireless Connectivity and Security of Cellular-Connected UAVs.
CoRR, 2018
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
Deep Learning-Based Dynamic Watermarking for Secure Signal Authentication in the Internet of Things.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
Sleeping Multi-Armed Bandits for Fast Uplink Grant Allocation in Machine Type Communications.
Proceedings of the IEEE Globecom Workshops, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems.
CoRR, 2017
Colonel Blotto Game for Secure State Estimation in Interdependent Critical Infrastructure.
CoRR, 2017
CoRR, 2017
A colonel blotto game for interdependence-aware cyber-physical systems security in smart cities.
Proceedings of the 2nd International Workshop on Science of Smart City Operations and Platforms Engineering, 2017