Hongning Li

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Optimization & Training — 5 citations into it

Whom Hongning Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Cynthia Dwork
2. Shai Shalev-Shwartz
3. H. Brendan McMahan

Papers from Hongning Li's perspective

Ordered by how strongly the researchers Hongning Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Membership Inference Attacks Against Machine Learning Models
4. Deep Learning with Differential Privacy
5. Boosting and Differential Privacy
6. The Algorithmic Foundations of Differential Privacy
7. Stochastic dual coordinate ascent methods for regularized loss
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Adding vs. Averaging in Distributed Primal-Dual Optimization
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Personalized Federated Learning With Differential Privacy (2020) — 325 citations