Shayan Mohajer Hamidi

Orcid: 0000-0001-8321-7130

According to our database1, Shayan Mohajer Hamidi authored at least 24 papers between 2021 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Over-the-Air Fair Federated Learning via Multi-Objective Optimization.
IEEE Commun. Lett., July, 2025

Information-Guided Diffusion Sampling for Dataset Distillation.
CoRR, July, 2025

Coded Deep Learning: Framework and Algorithm.
CoRR, January, 2025

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems.
CoRR, January, 2025

Towards Undistillable Models by Minimizing Conditional Mutual Information.
Trans. Mach. Learn. Res., 2025

Distributed Quasi-Newton Method for Fair and Fast Federated Learning.
Trans. Mach. Learn. Res., 2025

A coded knowledge distillation framework for image classification based on adaptive JPEG encoding.
Pattern Recognit., 2025

Second-Order Wireless Federated Leaning via Nonparametric Hessian Estimation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Rate-Constrained Quantization for Communication-Efficient Federated Learning.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Fair Wireless Federated Learning Through the Identification of a Common Descent Direction.
IEEE Commun. Lett., March, 2024

AdaFed: Fair Federated Learning via Adaptive Common Descent Direction.
Trans. Mach. Learn. Res., 2024

Training Neural Networks on Remote Edge Devices for Unseen Class Classification.
IEEE Signal Process. Lett., 2024

Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling.
CoRR, 2024

GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning.
CoRR, 2024

Adversarial Training via Adaptive Knowledge Amalgamation of an Ensemble of Teachers.
CoRR, 2024

Conditional Mutual Information Constrained Deep Learning: Framework and Preliminary Results.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Fed-IT: Addressing Class Imbalance in Federated Learning through an Information- Theoretic Lens.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Robustness Against Adversarial Attacks Via Learning Confined Adversarial Polytopes.
Proceedings of the IEEE International Conference on Acoustics, 2024

How to Train the Teacher Model for Effective Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Conditional Mutual Information Constrained Deep Learning for Classification.
CoRR, 2023

2022
A Learning-Based Framework for Locating Faults on Power Grid Lines Based on Distortion of Traveling Waves.
IEEE Trans. Instrum. Meas., 2022

Over-the-Air Federated Learning Exploiting Channel Perturbation.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

2021
A Secure Key Sharing Algorithm Exploiting Phase Reciprocity in Wireless Channels.
CoRR, 2021


  Loading...