Wang, Weizheng
City University of Hong Kong
7 papers on CoChatORCID 0000-0002-5879-585X
Most cited papers
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ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review
Khowaja, S. A., Khuwaja, P., Dev, K., Wang, W., & Nkenyereye, L. (2023) · Cognitive Computation
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 183
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EPPDA: An Efficient Privacy-Preserving Data Aggregation Federated Learning Scheme
Song, J., Wang, W., Gadekallu, T. R., Cao, J., & Liu, Y. (2023) · IEEE Transactions on Network Science and Engineering
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 150
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DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems
Lian, Z., Yang, Q., Wang, W., Zeng, Q., Alazab, M., Zhao, H., & Su, C. (2022) · IEEE Transactions on Network Science and Engineering
Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing
Cited by 100
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Blockchain-Based Personalized Federated Learning for Internet of Medical Things
Lian, Z., Wang, W., Han, Z., & Su, C. (2023) · IEEE Transactions on Sustainable Computing
Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security
Cited by 75
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COFEL: Communication-Efficient and Optimized Federated Learning with Local Differential Privacy
Lian, Z., Wang, W., & Su, C. (2021) · ICC 2021 - IEEE International Conference on Communications
Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques
Cited by 58
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Layer-Based Communication-Efficient Federated Learning with Privacy Preservation
LIAN, Z., WANG, W., HUANG, H., & SU, C. (2022) · IEICE Transactions on Information and Systems
Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques
Cited by 33
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Digital twin for wireless networks: security attacks and solutions
Wang, W., Yang, Y., Khan, L. U., Niyato, D., Han, Z., & Guizani, M. (2024) · IEEE Wireless Communications
Smart Grid Security and ResilienceAdversarial Robustness in Machine Learning
Cited by 30
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