2025
Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers.
CoRR, April, 2025

2023
Joint Privacy Enhancement and Quantization in Federated Learning.
IEEE Trans. Signal Process., 2023

On the Interpretable Adversarial Sensitivity of Iterative Optimizers.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023