World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
64
Citations
27514
World Ranking
1592
National Ranking
518

Overview

Angelia Nedić is affiliated with Arizona State University in the United States. Their research focuses on fields within Computer Science and Engineering, with significant contributions particularly in areas related to distributed optimization and networked control systems.

The main fields of study for Angelia Nedić include:

  • Computer Science (101 publications)
  • Engineering (30 publications)

Within these fields, the key subfields addressed in their work are:

  • Computer Networks and Communications (57 publications)
  • Artificial Intelligence (36 publications)
  • Computational Mechanics (12 publications)
  • Computational Theory and Mathematics (7 publications)
  • Statistical and Nonlinear Physics (6 publications)

Their research topics span several main areas, including:

  • Distributed Control Multi-Agent Systems (64 publications)
  • Stochastic Gradient Optimization Techniques (46 publications)
  • Sparse and Compressive Sensing Techniques (22 publications)
  • Cooperative Communication and Network Coding (10 publications)
  • Neural Networks Stability and Synchronization (8 publications)
  • Mathematical and Theoretical Epidemiology and Ecology Models (8 publications)
  • Complex Network Analysis Techniques (8 publications)

Among recent published papers authored or coauthored by Angelia Nedić are:

  • "Push-Pull Gradient Methods for Distributed Optimization in Networks," 2020, IEEE Transactions on Automatic Control
  • "Distributed stochastic gradient tracking methods," 2020, Mathematical Programming
  • "Distributed Gradient Methods for Convex Machine Learning Problems in Networks: Distributed Optimization," 2020, IEEE Signal Processing Magazine
  • "A General Framework for Decentralized Optimization With First-Order Methods," 2020, Proceedings of the IEEE
  • "Tailoring Gradient Methods for Differentially Private Distributed Optimization," 2023, IEEE Transactions on Automatic Control

Frequent co-authors collaborating with Angelia Nedić include:

  • Duong Tung Nguyen (11 joint publications)
  • Yongqiang Wang (9 joint publications)
  • Michal Yemini (7 joint publications)
  • Andrea Goldsmith (6 joint publications)
  • Stephanie Gil (6 joint publications)

The primary venues for publication where Angelia Nedić's research appears regularly are:

  • arXiv (Cornell University) - 22 publications
  • IEEE Transactions on Automatic Control - 8 publications
  • Mathematical Programming - 3 publications
  • IEEE Transactions on Control of Network Systems - 3 publications
  • Automatica - 3 publications

Best Publications

  • Distributed Subgradient Methods for Multi-Agent Optimization

    A. Nedic;A. Ozdaglar

  • Convex Analysis and Optimization

    Dimitri P. Bertsekas;Angelia Nedić;Asuman E. Ozdaglar

  • Constrained Consensus and Optimization in Multi-Agent Networks

    A. Nedic;A. Ozdaglar;P.A. Parrilo

  • Distributed optimization over time-varying directed graphs

    Angelia Nedic;Alex Olshevsky

  • Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs

    Angelia Nedić;Alex Olshevsky;Wei Shi

  • Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization

    S. Sundhar Ram;Angelia Nedic;Venugopal V. Veeravalli

  • On distributed averaging algorithms and quantization effects

    A. Nedic;A. Olshevsky;A. Ozdaglar;J.N. Tsitsiklis

  • Incremental Subgradient Methods for Nondifferentiable Optimization

    Angelia Nedic;Dimitri P. Bertsekas

  • Subgradient Methods for Saddle-Point Problems

    Angelia Nedic;Asuman E. Ozdaglar

  • Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization

    Angelia Nedic;Alex Olshevsky;Michael G. Rabbat

  • Approximate Primal Solutions and Rate Analysis for Dual Subgradient Methods

    Angelia Nedić;Asuman Ozdaglar

  • Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method

    Tsung-Hui Chang;Angelia Nedic;Anna Scaglione

  • Push–Pull Gradient Methods for Distributed Optimization in Networks

    Shi Pu;Wei Shi;Jinming Xu;Angelia Nedic

  • Distributed Asynchronous Constrained Stochastic Optimization

    K. Srivastava;A. Nedic

  • Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs

    Angelia Nedic;Alex Olshevsky

  • Asynchronous Broadcast-Based Convex Optimization Over a Network

    A Nedic

  • Distributed algorithms for aggregative games on graphs

    Jayash Koshal;Angelina Nedic;Uday V. Shanbhag

  • Convergence Rate of Incremental Subgradient Algorithms

    Angelia Nedić;Dimitri Bertsekas

  • Distributed stochastic gradient tracking methods

    Shi Pu;Angelia Nedić

  • Distributed Optimization for Control

    Angelia Nedić;Ji Liu

  • Incremental Stochastic Subgradient Algorithms for Convex Optimization

    S. Sundhar Ram;A. Nedić;V. V. Veeravalli

  • Incremental subgradient methods for nondifferentiable optimization

    A. Geary;D.P. Bertsekas

Frequent Co-Authors

Alex Olshevsky
Alex Olshevsky Boston University
Tamer Basar
Tamer Basar University of Illinois at Urbana-Champaign
Venugopal V. Veeravalli
Venugopal V. Veeravalli University of Illinois at Urbana-Champaign
Anna Scaglione
Anna Scaglione Cornell University
R. Srikant
R. Srikant University of Illinois at Urbana-Champaign
Dimitri P. Bertsekas
Dimitri P. Bertsekas Arizona State University
Olgica Milenkovic
Olgica Milenkovic University of Illinois at Urbana-Champaign
Michael Rabbat
Michael Rabbat Facebook (United States)
Dusan M. Stipanovic
Dusan M. Stipanovic University of Illinois at Urbana-Champaign

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