Mahdi Morafah - RankMe

18 papers A* 2A 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data. CoRR Abhijit Chunduru, Majid Morafah, Mahdi Morafah, Vishnu Pandi Chellapandi, Ang Li
2025	J	`jnl`	Federated Learning Client Pruning for Noisy Labels. ACM Trans. Model. Perform. Evaluation Comput. Syst. Mahdi Morafah, Hojin Chang, Chen Chen, Bill Lin
2024	J	`jnl`	A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. IEEE Trans. Artif. Intell. Mahdi Morafah, Weijia Wang, Bill Lin
2024	J	`jnl`	Federated Learning Client Pruning for Noisy Labels. CoRR Mahdi Morafah, Hojin Chang, Chen Chen, Bill Lin
2024	A	`conf`	Large Scale Delocalized Federated Learning Over a Huge Diversity of Devices in Emerging Next-Generation Edge Intelligence Environments. ICCAD Mahdi Morafah, Hojin Chang, Bill Lin
2024	J	`jnl`	Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. IEEE Trans. Artif. Intell. Saeed Vahidian, Mahdi Morafah, Chen Chen, Mubarak Shah, Bill Lin
2024	J	`jnl`	Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data. CoRR Mahdi Morafah, Matthias Reisser, Bill Lin, Christos Louizos
2024	A*	`conf`	Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration. NeurIPS Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang, Chen Chen, Bill Lin
2024	J	`jnl`	Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration. CoRR Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang, Chen Chen, Bill Lin
2023	J	`jnl`	A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. CoRR Mahdi Morafah, Weijia Wang, Bill Lin
2023	J	`jnl`	Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs. IEEE Trans. Control. Netw. Syst. Vyacheslav Kungurtsev, Mahdi Morafah, Tara Javidi, Gesualdo Scutari
2023	A*	`conf`	Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces. AAAI Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
2023	J	`jnl`	FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution. IEEE Open J. Comput. Soc. Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin
2022	J	`jnl`	Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces. CoRR Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
2022	J	`jnl`	FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution. CoRR Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin
2022	J	`jnl`	Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. CoRR Mahdi Morafah, Saeed Vahidian, Chen Chen, Mubarak Shah, Bill Lin
2021	—	`conf`	Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity. ICDCS Workshops Saeed Vahidian, Mahdi Morafah, Bill Lin
2021	J	`jnl`	Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity. CoRR Saeed Vahidian, Mahdi Morafah, Bill Lin