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Tao Lin
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Prediction with Incomplete Data under Agnostic Mask Distribution Shift


May 18, 2023
Yichen Zhu, Jian Yuan, Bo Jiang, Tao Lin, Haiming Jin, Xinbing Wang, Chenghu Zhou

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No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier


Mar 17, 2023
Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu

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Revisiting Weighted Aggregation in Federated Learning with Neural Networks


Feb 14, 2023
Zexi Li, Tao Lin, Xinyi Shang, Chao Wu

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Persuading a Behavioral Agent: Approximately Best Responding and Learning


Feb 07, 2023
Yiling Chen, Tao Lin

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FedConceptEM: Robust Federated Learning Under Diverse Distribution Shifts


Jan 29, 2023
Yongxin Guo, Xiaoying Tang, Tao Lin

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Decentralized Gradient Tracking with Local Steps


Jan 03, 2023
Yue Liu, Tao Lin, Anastasia Koloskova, Sebastian U. Stich

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How Does Independence Help Generalization? Sample Complexity of ERM on Product Distributions


Dec 13, 2022
Tao Lin

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The Sample Complexity of Forecast Aggregation


Jul 26, 2022
Yiling Chen, Tao Lin

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Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy


May 27, 2022
Lin Wang, YongXin Guo, Tao Lin, Xiaoying Tang

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FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data


May 27, 2022
Yongxin Guo, Tao Lin, Xiaoying Tang

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