A Secure Key Sharing Algorithm Exploiting Phase Reciprocity in Wireless Channels. - Shayan Mohajer Hamidi; Amir Keyvan Khandani; Ehsan Bateni (CoRR, 2021)

Over-the-Air Federated Learning Exploiting Channel Perturbation. - Shayan Mohajer Hamidi; Mohammad Mehrabi; Amir K. Khandani; Deniz Gündüz (SPAWC, 2022)

A Learning-Based Framework for Locating Faults on Power Grid Lines Based on Distortion of Traveling Waves. - Shayan Mohajer Hamidi; Amir Ameli; Mohsen Ghafouri; Felipe V. Lopes (IEEE Trans. Instrum. Meas., 2022)

Conditional Mutual Information Constrained Deep Learning for Classification. - En-Hui Yang; Shayan Mohajer Hamidi; Linfeng Ye; Renhao Tan; Beverly Yang (CoRR, 2023)

How to Train the Teacher Model for Effective Knowledge Distillation. - Shayan Mohajer Hamidi; Xizhen Deng; Renhao Tan; Linfeng Ye; Ahmed H. Salamah (ECCV (89), 2024)

Robustness Against Adversarial Attacks Via Learning Confined Adversarial Polytopes. - Shayan Mohajer Hamidi; Linfeng Ye (ICASSP, 2024)

Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information. - Linfeng Ye; Shayan Mohajer Hamidi; Renhao Tan; En-Hui Yang (ICLR, 2024)

Fed-IT: Addressing Class Imbalance in Federated Learning through an Information- Theoretic Lens. - Shayan Mohajer Hamidi; Renhao Tan; Linfeng Ye; En-Hui Yang (ISIT, 2024)

Conditional Mutual Information Constrained Deep Learning: Framework and Preliminary Results. - En-Hui Yang; Shayan Mohajer Hamidi; Linfeng Ye; Renhao Tan; Beverly Yang (ISIT, 2024)

Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers. - Shayan Mohajer Hamidi; Linfeng Ye (CoRR, 2024)

GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning. - Shayan Mohajer Hamidi; Ali Bereyhi; Saba Asaad; H. Vincent Poor (CoRR, 2024)

Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling. - Shayan Mohajer Hamidi; En-Hui Yang (CoRR, 2024)

Training Neural Networks on Remote Edge Devices for Unseen Class Classification. - Shayan Mohajer Hamidi (IEEE Signal Process. Lett., 2024)

AdaFed: Fair Federated Learning via Adaptive Common Descent Direction. - Shayan Mohajer Hamidi; En-Hui Yang (Trans. Mach. Learn. Res., 2024)

Fair Wireless Federated Learning Through the Identification of a Common Descent Direction. - Shayan Mohajer Hamidi; Oussama Damen (IEEE Commun. Lett., 2024)

Rate-Constrained Quantization for Communication-Efficient Federated Learning. - Shayan Mohajer Hamidi; Ali Bereyhi (ICASSP, 2025)

Second-Order Wireless Federated Leaning via Nonparametric Hessian Estimation. - Shayan Mohajer Hamidi; Ali Bereyhi (ICASSP, 2025)

A coded knowledge distillation framework for image classification based on adaptive JPEG encoding. - Ahmed H. Salamah; Shayan Mohajer Hamidi; En-Hui Yang (Pattern Recognit., 2025)

Distributed Quasi-Newton Method for Fair and Fast Federated Learning. - Shayan Mohajer Hamidi; Linfeng Ye (Trans. Mach. Learn. Res., 2025)

Towards Undistillable Models by Minimizing Conditional Mutual Information. - Linfeng Ye; Shayan Mohajer Hamidi; En-Hui Yang (Trans. Mach. Learn. Res., 2025)

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems. - Shayan Mohajer Hamidi; En-Hui Yang (CoRR, 2025)

Coded Deep Learning: Framework and Algorithm. - En-Hui Yang; Shayan Mohajer Hamidi (CoRR, 2025)

Information-Guided Diffusion Sampling for Dataset Distillation. - Linfeng Ye; Shayan Mohajer Hamidi; Guang Li 008; Takahiro Ogawa 001; Miki Haseyama; Konstantinos N. Plataniotis (CoRR, 2025)

Over-the-Air Fair Federated Learning via Multi-Objective Optimization. - Shayan Mohajer Hamidi; Ali Bereyhi; Saba Asaad; H. Vincent Poor (IEEE Commun. Lett., 2025)