Mohammad Mahdi Khalili
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #23,549 of 35,345 by trust here, #28,481 by citations
- Computer Networks and Communications — 18 citations into it; #6,196 of 9,886 by trust here, #7,832 by citations
- Optimization & Training — 9 citations into it
- Mathematical Optimization — 8 citations into it
- Computational Mechanics — 6 citations into it
- Privacy & Security — 6 citations into it; #502 of 709 by trust here, #662 by citations
- Safety, Robustness & Interpretability — 5 citations into it
Whom Mohammad Mahdi Khalili trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Angelia Nedić
- Tao Zhang
- Asuman E. Ozdaglar
- Kamalika Chaudhuri
- Adam D. Smith
- Ilan Lobel
- Abhradeep Thakurta
- Ruiliang Zhang
- Mark Bun
Who trusts Mohammad Mahdi Khalili overall
Papers from Mohammad Mahdi Khalili's perspective
Ordered by how strongly the researchers Mohammad Mahdi Khalili trusts endorse each paper. Same corpus, a different order for every researcher.
- Differentially Private Empirical Risk Minimization
- Differential Privacy
- Deep Learning with Differential Privacy
- Calibrating Noise to Sensitivity in Private Data Analysis
- The Algorithmic Foundations of Differential Privacy
- Distributed Subgradient Methods for Multi-Agent Optimization
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Private Convex Optimization for Empirical Risk Minimization with Applications to High-dimensional Regression
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms (2019) — 27 citations
- Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms (2018) — 95 citations