13 citations · 13 across the 2 of their papers we have counts for
2 papers
stat.ML2022
Group Personalized Federated Learning
Zhe Liu, Yue Hui, Fuchun Peng
Federated learning (FL) can help promote data privacy by training a shared model in a de-centralized manner on the physical devices of clients. In the presence of highly heterogene…
cs.LG2021★ 13 cited
On the geometry of generalization and memorization in deep neural networks
Cory Stephenson, Suchismita Padhy, Abhinav Ganesh +3
Understanding how large neural networks avoid memorizing training data is key to explaining their high generalization performance. To examine the structure of when and where memori…