Mohammad Akbari

Computer Networks and Communications · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Akbari trusts overall

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

  1. Angelia Nedić
  2. Martin A. Zinkevich
  3. Shai Shalev-Shwartz
  4. Konstantinos I. Tsianos
  5. Alexander Olshevsky
  6. David Kempe
  7. Feng Yan
  8. Michael G. Rabbat
  9. John N. Tsitsiklis
  10. Dimitri P. Bertsekas

Who trusts Mohammad Akbari overall

  1. Jiyan Jiang
  2. Wenpeng Zhang
  3. Shahin Shahrampour

Papers from Mohammad Akbari's perspective

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

  1. Logarithmic regret algorithms for online convex optimization
  2. Online Convex Programming and Generalized Infinitesimal Gradient Ascent
  3. A Randomized Incremental Subgradient Method for Distributed Optimization in Networked Systems
  4. Distributed Asynchronous Deterministic and Stochastic Gradient Optimization Algorithms
  5. Constrained Consensus and Optimization in Multi-Agent Networks
  6. Distributed optimization in sensor networks
  7. Online Learning and Online Convex Optimization
  8. Distributed optimization over time-varying directed graphs
  9. Gradient-based learning applied to document recognition
  10. Push-Sum Distributed Dual Averaging for convex optimization

Their papers