Mahdi Morafah

According to our database, Mahdi Morafah authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Federated Learning Client Pruning for Noisy Labels.

Mahdi Morafah, Hojin Chang, Chen Chen, Bill Lin

ACM Trans. Model. Perform. Evaluation Comput. Syst., June, 2025

Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data.

Abhijit Chunduru, Majid Morafah, Mahdi Morafah, Vishnu Pandi Chellapandi, Ang Li

CoRR, May, 2025

2024

A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design.

Mahdi Morafah, Weijia Wang, Bill Lin

IEEE Trans. Artif. Intell., April, 2024

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks.

Saeed Vahidian, Mahdi Morafah, Chen Chen, Mubarak Shah, Bill Lin

IEEE Trans. Artif. Intell., March, 2024

Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data.

Mahdi Morafah, Matthias Reisser, Bill Lin, Christos Louizos

CoRR, 2024

Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration.

Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang, Chen Chen, Bill Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Large Scale Delocalized Federated Learning Over a Huge Diversity of Devices in Emerging Next-Generation Edge Intelligence Environments.

Mahdi Morafah, Hojin Chang, Bill Lin

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2023

Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs.

Vyacheslav Kungurtsev, Mahdi Morafah, Tara Javidi, Gesualdo Scutari

IEEE Trans. Control. Netw. Syst., December, 2023

FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution.

Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin

IEEE Open J. Comput. Soc., 2023

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces.

Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity.

Saeed Vahidian, Mahdi Morafah, Bill Lin

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems Workshops, 2021