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Mahdi Morafah
Mahdi Morafah
在 ucsd.edu 的电子邮件经过验证
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引用次数
引用次数
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Personalized federated learning by structured and unstructured pruning under data heterogeneity
S Vahidian*, M Morafah*, B Lin
2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021
772021
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
S Vahidian*, M Morafah*, W Wang, V Kungurtsev, C Chen, M Shah, B Lin
AAAI Conference on Artificial Intelligence, 2022
422022
Flis: Clustered federated learning via inference similarity for non-iid data distribution
M Morafah, S Vahidian, W Wang, B Lin
IEEE Open Journal of the Computer Society 4, 109-120, 2023
402023
Rethinking data heterogeneity in federated learning: Introducing a new notion and standard benchmarks
S Vahidian, M Morafah, C Chen, M Shah, B Lin
IEEE Transactions on Artificial Intelligence 5 (3), 1386-1397, 2023
262023
Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs
V Kungurtsev, M Morafah, T Javidi, G Scutari
IEEE Transactions on Control of Network Systems 10 (4), 1796-1804, 2023
62023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
M Morafah, W Wang, B Lin
IEEE Transactions on Artificial Intelligence, 2023
52023
Rethinking data heterogeneity in federated learning: Introducing a new notion and standard benchmarks
M Morafah, S Vahidian, C Chen, M Shah, B Lin
FL-NeurIPS 2023, 2022
52022
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
M Morafah, M Reisser, B Lin, C Louizos
FL@FM-TheWebConf 2024, 2024
12024
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
M Morafah, V Kungurtsev, H Chang, C Chen, B Lin
NeurIPS 2024, 2024
2024
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
S Vahidian, M Morafah, W Wang, B Lin
Workshop on Federated Learning: Recent Advances and New Challenges (in …, 0
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