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2020 – today
- 2024
[j3]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): 1386-1397 (2024)- [j2]Mahdi Morafah, Weijia Wang, Bill Lin:
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. IEEE Trans. Artif. Intell. 5(4): 1708-1717 (2024) - [i7]Mahdi Morafah, Matthias Reisser, Bill Lin, Christos Louizos:
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data. CoRR abs/2405.07925 (2024) - [i6]Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang, Chen Chen, Bill Lin:
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration. CoRR abs/2409.18461 (2024) - 2023
- [j1]Vyacheslav Kungurtsev, Mahdi Morafah, Tara Javidi, Gesualdo Scutari:
Decentralized Asynchronous Nonconvex Stochastic Optimization on Directed Graphs. IEEE Trans. Control. Netw. Syst. 10(4): 1796-1804 (2023) - [c2]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: 10043-10052 - [i5]Mahdi Morafah, Weijia Wang, Bill Lin:
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design. CoRR abs/2307.15245 (2023) - 2022
- [i4]Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin:
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution. CoRR abs/2208.09754 (2022) - [i3]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 abs/2209.10526 (2022) - [i2]Mahdi Morafah, Saeed Vahidian, Chen Chen, Mubarak Shah, Bill Lin:
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. CoRR abs/2209.15595 (2022) - 2021
- [c1]Saeed Vahidian, Mahdi Morafah, Bill Lin:
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity. ICDCS Workshops 2021: 27-34 - [i1]Saeed Vahidian, Mahdi Morafah, Bill Lin:
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity. CoRR abs/2105.00562 (2021)
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