Elnur Gasanov

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Optimization & Training — 10 citations into it
• Computational Mechanics — 7 citations into it
• Federated & Distributed Learning — 5 citations into it

Whom Elnur Gasanov trusts overall

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

1. Ahmed Khaled
2. Peter Richtárik
3. Sebastian U. Stich
4. Patrick L. Combettes
5. Heinz H. Bauschke
6. Yurii E. Nesterov

Papers from Elnur Gasanov's perspective

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

1. Convex Analysis and Monotone Operator Theory in Hilbert Spaces
2. First Analysis of Local GD on Heterogeneous Data
3. Federated Learning: Strategies for Improving Communication Efficiency
4. Gradient Descent with Compressed Iterates
5. On the Convergence of Local Descent Methods in Federated Learning
6. Iteration complexity of randomized block-coordinate descent methods for minimizing a composite function
7. Local SGD Converges Fast and Communicates Little
8. Introductory Lectures on Convex Optimization - A Basic Course
9. Communication-Efficient Learning of Deep Networks from Decentralized Data
10. Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints

Their papers

• From Local SGD to Local Fixed Point Methods for Federated Learning (2020) — 139 citations