Lin, Bill

7 publications

NeurIPS 2024 Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang, Chen Chen, Bill Lin

AAAI 2023 Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin

ICCV 2023 When Do Curricula Work in Federated Learning? Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin

NeurIPSW 2022 FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution Saeed Vahidian, Mahdi Morafah, Weijia Wang, Bill Lin

NeurIPSW 2022 Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks Saeed Vahidian, Mahdi Morafah, Chen Chen, Mubarak Shah, Bill Lin

AAAI 2021 Learning Accurate and Interpretable Decision Rule Sets from Neural Networks Litao Qiao, Weijia Wang, Bill Lin

ICLR 2021 Unsupervised Meta-Learning Through Latent-Space Interpolation in Generative Models Siavash Khodadadeh, Sharare Zehtabian, Saeed Vahidian, Weijia Wang, Bill Lin, Ladislau Boloni