516 citations · 1.1k across the 20 of their papers we have counts for
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cs.LG2021★ 1 cited
Understanding Memorization from the Perspective of Optimization via Efficient Influence Estimation
Futong Liu, Tao Lin, Martin Jaggi
Over-parameterized deep neural networks are able to achieve excellent training accuracy while maintaining a small generalization error. It has also been found that they are able to…
cs.LG2021
Towards Federated Learning on Time-Evolving Heterogeneous Data
Yongxin Guo, Tao Lin, Xiaoying Tang
Federated Learning (FL) is a learning paradigm that protects privacy by keeping client data on edge devices. However, optimizing FL in practice can be difficult due to the diversit…