Mahdi Morafah

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Data Distribution

Experimental Design

Highly Heterogeneous

Top Venues

IEEE Trans. Artif. Intell.

IEEE Trans. Control. Netw. Syst.

ICDCS Workshops

Publications

Mahdi Morafah, Weijia Wang, Bill Lin
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. IEEE Trans. Artif. Intell. 5 (4) (2024)
Saeed Vahidian, Mahdi Morafah, Chen Chen, Mubarak Shah, Bill Lin
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. IEEE Trans. Artif. Intell. 5 (3) (2024)
Mahdi Morafah, Matthias Reisser, Bill Lin, Christos Louizos
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data. CoRR (2024)
Mahdi Morafah, Weijia Wang, Bill Lin
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. CoRR (2023)
Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces. AAAI (2023)
Vyacheslav Kungurtsev, Mahdi Morafah, Tara Javidi, Gesualdo Scutari
Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs. IEEE Trans. Control. Netw. Syst. 10 (4) (2023)
Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution. CoRR (2022)
Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces. CoRR (2022)
Mahdi Morafah, Saeed Vahidian, Chen Chen, Mubarak Shah, Bill Lin
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. CoRR (2022)
Saeed Vahidian, Mahdi Morafah, Bill Lin
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity. CoRR (2021)
Saeed Vahidian, Mahdi Morafah, Bill Lin
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity. ICDCS Workshops (2021)