Salim el Rouayheb

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 14 papers; trusts 82 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 497 citations into it; #6,150 of 35,345 by trust here, #2,975 by citations
• Privacy & Security — 244 citations into it; #281 of 709 by trust here, #467 by citations
• Computer Networks and Communications — 143 citations into it; #1,464 of 9,886 by trust here, #2,613 by citations
• Federated & Distributed Learning — 123 citations into it
• Optimization & Training — 112 citations into it
• Computational Theory and Mathematics — 89 citations into it; #9,740 of 12,182 by trust here, #10,901 by citations
• Safety, Robustness & Interpretability — 78 citations into it
• ML Systems & Hardware — 56 citations into it

Whom Salim el Rouayheb trusts overall

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

1. Razane Tajeddine
2. Johannes Blömer
3. Cynthia Dwork
4. Hua Sun
5. Rawad Bitar
6. Amos Beimel
7. Karim A. Banawan
8. Oliver Wilhelm Gnilke
9. Nihar B. Shah
10. Ragnar Freij

Who trusts Salim el Rouayheb overall

1. Rawad Bitar
2. Razane Tajeddine
3. Rafael G. L. D'Oliveira
4. Edwige Cyffers
5. Hua Sun
6. Jörg Kliewer
7. Wentao Huang
8. Karim A. Banawan
9. Malihe Aliasgari
10. Oliver Wilhelm Gnilke

Papers from Salim el Rouayheb's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Information Theory: 1948-1998 - Guest Editorial

Their papers

• Advances and Open Problems in Federated Learning (2019) — 9,019 citations
• Private information retrieval with side information: The single server case (2017) — 39 citations
• ON-OFF Privacy with Correlated Requests (2019) — 9 citations
• Preserving ON-OFF Privacy for Past and Future Requests (2019) — 6 citations
• Staircase-PIR: Universally Robust Private Information Retrieval (2018) — 29 citations
• Lifting Private Information Retrieval from Two to any Number of Messages (2018) — 17 citations
• GASP Codes for Secure Distributed Matrix Multiplication (2018) — 122 citations
• Private Weighted Random Walk Stochastic Gradient Descent (2020) — 23 citations
• Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes (2018) — 53 citations
• Minimizing latency for secure distributed computing (2017) — 78 citations
• Private Information Retrieval With Side Information (2017) — 152 citations
• Robust private information retrieval on coded data (2017) — 41 citations
• Private Information Retrieval From MDS Coded Data in Distributed Storage Systems (2016) — 234 citations
• Staircase codes for secret sharing with optimal communication and read overheads (2015) — 57 citations