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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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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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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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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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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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SPoFC: A framework for stream data aggregation with local differential privacy

Concurrency and computation, 2023-02, Vol.35 (5), p.n/a

2023

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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 Survey on Conflict Detection in IoT-based Smart Homes

ACM computing surveys, 2024-05, Vol.56 (5), p.1-40, Article 122

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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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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Boosting Black-Box Attack to Deep Neural Networks With Conditional Diffusion Models

IEEE transactions on information forensics and security, 2024, Vol.19, p.5207-5219

2024

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Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things

IEEE internet of things journal, 2024-05, Vol.11 (10), p.18449-18462

2024

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Design of intelligent KNN-based alarm filter using knowledge-based alert verification in intrusion detection

Security and communication networks, 2015-12, Vol.8 (18), p.3883-3895

2015

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Local differential privacy and its applications: A comprehensive survey

Computer standards and interfaces, 2024-04, Vol.89, p.103827, Article 103827

2024

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Q-Learning-Based Dynamic Spectrum Access in Cognitive Industrial Internet of Things

Mobile networks and applications, 2018-12, Vol.23 (6), p.1636-1644

2018

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Survey on Digital Sovereignty and Identity: From Digitization to Digitalization

ACM computing surveys, 2024-03, Vol.56 (3), p.1-36, Article 61

2024

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Surveying Trust-Based Collaborative Intrusion Detection: State-of-the-Art, Challenges and Future Directions

IEEE Communications surveys and tutorials, 2022, Vol.24 (1), p.280-305

2022

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Asymmetric Modality Translation for Face Presentation Attack Detection

IEEE transactions on multimedia, 2023, Vol.25, p.62-76

2023

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EFM: Enhancing the performance of signature-based network intrusion detection systems using enhanced filter mechanism

Computers & security, 2014-06, Vol.43, p.189-204

2014

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Privacy-Preserving User Profile Matching in Social Networks

IEEE transactions on knowledge and data engineering, 2020-08, Vol.32 (8), p.1572-1585

2020

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Local Differential Privacy-Based Federated Learning for Internet of Things

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

Advances and Emerging Challenges in Cognitive Internet-of-Things

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

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

Enhancing Federated Learning With Spectrum Allocation Optimization and Device Selection

SPoFC: A framework for stream data aggregation with local differential privacy

Spectrum optimization in cognitive satellite networks with graph coloring method

A Survey on Conflict Detection in IoT-based Smart Homes

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

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

Boosting Black-Box Attack to Deep Neural Networks With Conditional Diffusion Models

Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things

Design of intelligent KNN-based alarm filter using knowledge-based alert verification in intrusion detection

Local differential privacy and its applications: A comprehensive survey

Q-Learning-Based Dynamic Spectrum Access in Cognitive Industrial Internet of Things

Survey on Digital Sovereignty and Identity: From Digitization to Digitalization

Surveying Trust-Based Collaborative Intrusion Detection: State-of-the-Art, Challenges and Future Directions

Asymmetric Modality Translation for Face Presentation Attack Detection

EFM: Enhancing the performance of signature-based network intrusion detection systems using enhanced filter mechanism

Privacy-Preserving User Profile Matching in Social Networks

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