Qinglin Yang
Orcid: 0000-0002-7263-8914
According to our database1,
Qinglin Yang
authored at least 35 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
CoRR, July, 2025
DataFly: A Confidentiality-Preserving Data Migration Across Heterogeneous Blockchains.
IEEE Trans. Computers, June, 2025
IEEE Commun. Mag., April, 2025
IEEE Trans. Serv. Comput., 2025
An Effective Scheme to Solve Critical Data Missing Problems for IoT-Based Smart Energy Management.
IEEE Internet Things J., 2025
Hierarchical Aggregation for Federated Learning in Heterogeneous IoT Scenarios: Enhancing Privacy and Communication Efficiency.
Future Internet, 2025
2024
Cross-and-Diagonal Networks: An Indirect Self-Attention Mechanism for Image Classification.
Sensors, April, 2024
ACM Comput. Surv., April, 2024
Comput. Commun., January, 2024
IEEE Trans. Inf. Forensics Secur., 2024
IEEE Open J. Comput. Soc., 2024
Broker2Earn: Towards Maximizing Broker Revenue and System Liquidity for Sharded Blockchains.
Proceedings of the IEEE INFOCOM 2024, 2024
Can Federated Learning Clients be Lightweight? A Plug-and-Play Symmetric Conversion Module.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
Review of Incentive Mechanisms of Differential Privacy Based Federated Learning Protocols: From the Economics and Game Theoretical Perspectives.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024
Node Betweenness Centrality based Defense Strategy Against Topology Inference Threat: A Static Game Theoretical Perspective.
Proceedings of the 2024 IEEE Cyber Science and Technology Congress (CyberSciTech), 2024
2023
IEEE Trans. Neural Networks Learn. Syst., December, 2023
A coordinates-based hierarchical computing framework towards spatial data processing.
Comput. Commun., November, 2023
IEEE Wirel. Commun., October, 2023
Correction to: Loss-based differentiation strategy for privacy preserving of social robots.
J. Supercomput., 2023
J. Supercomput., 2023
CoRR, 2023
Road crash risk prediction during COVID-19 for flash crowd traffic prevention: The case of Los Angeles.
Comput. Commun., 2023
2022
Semi-Synchronous Federated Learning Protocol With Dynamic Aggregation in Internet of Vehicles.
IEEE Trans. Veh. Technol., 2022
DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems.
IEEE Trans. Netw. Sci. Eng., 2022
WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy.
Proceedings of the IEEE International Conference on Communications, 2022
2021
Mob. Networks Appl., 2021
2020
Proceedings of the IEEE International Conference on Smart Cloud, 2020
Deep Reinforcement Learning for Optimal Resource Allocation in Blockchain-based IoV Secure Systems.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020
2019
Proceedings of the 2019 USENIX Annual Technical Conference, 2019
Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2019
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019