Zhen Dai

Optimization & Training · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 24 citations into it
• Artificial Intelligence — 22 citations into it
• Federated & Distributed Learning — 6 citations into it

Whom Zhen Dai trusts overall

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

1. Sebastian U. Stich
2. Ohad Shamir
3. Nati Srebro

Papers from Zhen Dai's perspective

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

1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
2. Parallelized Stochastic Gradient Descent
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Optimal Distributed Online Prediction Using Mini-Batches
5. Better Mini-Batch Algorithms via Accelerated Gradient Methods
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. Communication-Efficient Learning of Deep Networks from Decentralized Data
9. SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning
10. Local SGD Converges Fast and Communicates Little

Their papers

• Is Local SGD Better than Minibatch SGD? (2020) — 290 citations