3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 3 cited
Balancing Privacy Protection and Interpretability in Federated Learning
Zhe Li, Honglong Chen, Zhichen Ni +1
Federated learning (FL) aims to collaboratively train the global model in a distributed manner by sharing the model parameters from local clients to a central server, thereby poten…
cs.LG2022★ 1 cited
Phy-Taylor: Physics-Model-Based Deep Neural Networks
Yanbing Mao, Lui Sha, Huajie Shao +3
Purely data-driven deep neural networks (DNNs) applied to physical engineering systems can infer relations that violate physics laws, thus leading to unexpected consequences. To ad…