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Michael Crawshaw
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Multi-task learning with deep neural networks: A survey
M Crawshaw
arXiv preprint arXiv:2009.09796, 2020
6352020
Robustness to unbounded smoothness of generalized signsgd
M Crawshaw, M Liu, F Orabona, W Zhang, Z Zhuang
Advances in Neural Information Processing Systems 35, 9955-9968, 2022
332022
Fast Composite Optimization and Statistical Recovery in Federated Learning
Y Bao, M Crawshaw, S Luo, M Liu
International Conference on Machine Learning, 1508-1536, 2022
102022
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
M Crawshaw, Y Bao, M Liu
International Conference on Learning Representations, 2023
32023
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds
M Crawshaw, Y Bao, M Liu
Thirty-seventh Conference on Neural Information Processing Systems, 2023
22023
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