Cody Lewis
Orcid: 0000-0002-7796-3230
According to our database1,
Cody Lewis authored at least 6 papers
between 2023 and 2026.
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Bibliography
2026
PrivESD: A Privacy-Preserving Cloud-Edge Collaborative Logistic Regression Model Over Encrypted Streaming Data.
IEEE Trans. Dependable Secur. Comput., 2026
2025
Achieving Robustness and Dropout Fairness with Hierarchical Federated Learning in Smart Grid Infrastructures.
ACM Trans. Cyber Phys. Syst., October, 2025
2024
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning.
ACM Trans. Intell. Syst. Technol., June, 2024
Mitigation of Gradient Inversion Attacks in Federated Learning with Private Adaptive Optimization.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
2023
IEEE Internet Things J., July, 2023
J. Mach. Learn. Res., 2023