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Wireless Communication and Security Issues for Cyber-Physical Systems and the Internet-of-Things

Proceedings of the IEEE, 2018-01, Vol.106 (1), p.38-60

2018

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Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

IEEE journal on selected areas in communications, 2021-10, Vol.39 (10), p.3144-3159

2021

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Local Differential Privacy-Based Federated Learning for Internet of Things

IEEE internet of things journal, 2021-06, Vol.8 (11), p.8836-8853

2021

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Autonomous Vehicle: Security by Design

IEEE transactions on intelligent transportation systems, 2021-11, Vol.22 (11), p.7015-7029

2021

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Blockchain for Future Smart Grid: A Comprehensive Survey

IEEE internet of things journal, 2021-01, Vol.8 (1), p.18-43

2021

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Blended Learning. Enhancing Learning Success: 11th International Conference, ICBL 2018, Osaka, Japan, July 31- August 2, 2018, Proceedings

1st Edition 2018, 2018

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Efficient Dropout-Resilient Aggregation for Privacy-Preserving Machine Learning

IEEE transactions on information forensics and security, 2023, Vol.18, p.1839-1854

2023

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Recycling and crystal regeneration of commercial used LiFePO4 cathode materials

Electrochimica acta, 2020-01, Vol.330, p.135323, Article 135323

2020

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Federated-Learning-Empowered Collaborative Data Sharing for Vehicular Edge Networks

IEEE network, 2021-05, Vol.35 (3), p.116-124

2021

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Advances and Emerging Challenges in Cognitive Internet-of-Things

IEEE transactions on industrial informatics, 2020-08, Vol.16 (8), p.5489-5496

2020

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Joint Pricing and Power Allocation for Multibeam Satellite Systems With Dynamic Game Model

IEEE transactions on vehicular technology, 2018-03, Vol.67 (3), p.2398-2408

2018

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Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey

IEEE internet of things journal, 2021-03, Vol.8 (6), p.4157-4185

2021

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Distributed Deep Reinforcement Learning-Based Spectrum and Power Allocation for Heterogeneous Networks

IEEE transactions on wireless communications, 2022-09, Vol.21 (9), p.6935-6948

2022

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Spectrum Sharing for 6G Integrated Satellite-Terrestrial Communication Networks Based on NOMA and CR

IEEE network, 2021-07, Vol.35 (4), p.28-34

2021

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Enhancing Federated Learning With Spectrum Allocation Optimization and Device Selection

IEEE/ACM transactions on networking, 2023-10, Vol.31 (5), p.1-16

2023

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Dynamic Spectrum Access for Internet-of-Things Based on Federated Deep Reinforcement Learning

IEEE transactions on vehicular technology, 2022-07, Vol.71 (7), p.7952-7956

2022

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Ultrathin amorphous CoFeP nanosheets derived from CoFe LDHs by partial phosphating as excellent bifunctional catalysts for overall water splitting

Electrochimica acta, 2019-11, Vol.323, p.134595, Article 134595

2019

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Spectrum optimization in cognitive satellite networks with graph coloring method

Wireless networks, 2024-07, Vol.30 (5), p.3443-3452

2024

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A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection

IEEE network, 2023-07, Vol.37 (4), p.248-254

2023

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Wearable and flexible thin film thermoelectric module for multi-scale energy harvesting

Journal of power sources, 2020-04, Vol.455, p.227983, Article 227983

2020

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Spectrum Trading for Satellite Communication Systems With Dynamic Bargaining

IEEE transactions on communications, 2018-10, Vol.66 (10), p.4680-4693

2018

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Cognitive Carrier Resource Optimization for Internet-of-Vehicles in 5G-Enhanced Smart Cities

IEEE network, 2022-01, Vol.36 (1), p.174-180

2022

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Hybrid Learning: 4th International Conference, ICHL 2011, Hong Kong, China, August 10-12, 2011, Proceedings

1, 2011

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Deep reinforcement learning based scheduling strategy for federated learning in sensor-cloud systems

Future generation computer systems, 2023-07, Vol.144, p.219-229

2023

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Design considerations and cycling guidance for aluminum foil anodes in lithium-ion rechargeable cells

Electrochimica acta, 2023-07, Vol.456, p.142437, Article 142437

2023

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Wireless Communication and Security Issues for Cyber-Physical Systems and the Internet-of-Things

Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

Local Differential Privacy-Based Federated Learning for Internet of Things

Autonomous Vehicle: Security by Design

Blockchain for Future Smart Grid: A Comprehensive Survey

Blended Learning. Enhancing Learning Success: 11th International Conference, ICBL 2018, Osaka, Japan, July 31- August 2, 2018, Proceedings

Efficient Dropout-Resilient Aggregation for Privacy-Preserving Machine Learning

Recycling and crystal regeneration of commercial used LiFePO4 cathode materials

Federated-Learning-Empowered Collaborative Data Sharing for Vehicular Edge Networks

Advances and Emerging Challenges in Cognitive Internet-of-Things

Joint Pricing and Power Allocation for Multibeam Satellite Systems With Dynamic Game Model

Blockchain for the Internet of Vehicles Towards Intelligent Transportation Systems: A Survey

Distributed Deep Reinforcement Learning-Based Spectrum and Power Allocation for Heterogeneous Networks

Spectrum Sharing for 6G Integrated Satellite-Terrestrial Communication Networks Based on NOMA and CR

Enhancing Federated Learning With Spectrum Allocation Optimization and Device Selection

Dynamic Spectrum Access for Internet-of-Things Based on Federated Deep Reinforcement Learning

Ultrathin amorphous CoFeP nanosheets derived from CoFe LDHs by partial phosphating as excellent bifunctional catalysts for overall water splitting

Spectrum optimization in cognitive satellite networks with graph coloring method

A Hybrid Framework of Reinforcement Learning and Convex Optimization for UAV-Based Autonomous Metaverse Data Collection

Wearable and flexible thin film thermoelectric module for multi-scale energy harvesting

Spectrum Trading for Satellite Communication Systems With Dynamic Bargaining

Cognitive Carrier Resource Optimization for Internet-of-Vehicles in 5G-Enhanced Smart Cities

Hybrid Learning: 4th International Conference, ICHL 2011, Hong Kong, China, August 10-12, 2011, Proceedings

Deep reinforcement learning based scheduling strategy for federated learning in sensor-cloud systems

Design considerations and cycling guidance for aluminum foil anodes in lithium-ion rechargeable cells

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