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 | 77 | 2021 |
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 | 42 | 2022 |
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 | 40 | 2023 |
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 | 26 | 2023 |
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 | 6 | 2023 |
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design M Morafah, W Wang, B Lin IEEE Transactions on Artificial Intelligence, 2023 | 5 | 2023 |
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 | 5 | 2022 |
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 | 1 | 2024 |
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 | | |