Fariborz Salehi

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #15,493 of 35,345 by trust here, #16,771 by citations
• Optimization & Training — 6 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Fariborz Salehi trusts overall

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

1. S. Jammalamadaka
2. Yurii E. Nesterov
3. Yurii Lyubarskii
4. Yann LeCun
5. Qian Yu
6. Sebastian Caldas
7. Rashish Tandon

Who trusts Fariborz Salehi overall

1. Deepesh Data
2. Songze Li
3. Jinhyun So
4. Sanghamitra Dutta
5. Heecheol Yang

Papers from Fariborz Salehi's perspective

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

1. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
2. Revisiting Distributed Synchronous SGD
3. The mnist database of handwritten digits
4. Parallelized Stochastic Gradient Descent
5. Gradient-based learning applied to document recognition
6. ImageNet classification with deep convolutional neural networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient Coding
9. Learning Multiple Layers of Features from Tiny Images
10. and s

Their papers

• Federated Learning with Autotuned Communication-Efficient Secure Aggregation (2019) — 84 citations
• Improving Distributed Gradient Descent Using Reed-Solomon Codes (2017) — 166 citations