Peter B. Walker

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 91 citations into it
• Federated & Distributed Learning — 42 citations into it
• Optimization & Training — 14 citations into it

Whom Peter B. Walker trusts overall

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

1. H. Brendan McMahan
2. Peter Richtárik

Papers from Peter B. Walker's perspective

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

1. Distilling the Knowledge in a Neural Network (arXiv.org)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Deep Learning
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Communication-Efficient Learning of Deep Networks from Decentralized Data

Their papers

• Federated Learning for Healthcare Informatics (2019) — 1,462 citations