Mahsa Taziki

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #27,376 of 35,345 by trust here, #22,463 by citations
• Computer Networks and Communications — 16 citations into it
• Privacy & Security — 15 citations into it; #554 of 709 by trust here, #552 by citations
• Safety, Robustness & Interpretability — 10 citations into it
• Computational Mechanics — 8 citations into it
• Federated & Distributed Learning — 5 citations into it; #253 of 319 by trust here, #281 by citations
• Mathematical Optimization — 5 citations into it

Whom Mahsa Taziki trusts overall

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

1. Cynthia Dwork
2. Angelia Nedić
3. Andreas Maurer
4. Theodoros Evgeniou
5. Mu Li
6. Reza Shokri
7. Arun Rajkumar

Who trusts Mahsa Taziki overall

1. Aurélien Bellet
2. Edwige Cyffers

Papers from Mahsa Taziki's perspective

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

1. Large Scale Distributed Deep Networks
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
8. Differential Privacy
9. ImageNet: A large-scale hierarchical image database
10. Differentially Private Empirical Risk Minimization

Their papers

• Personalized and Private Peer-to-Peer Machine Learning (2017) — 172 citations
• Asynchronous Byzantine Machine Learning (2018) — 41 citations