• 6578 Citations
  • 34 h-Index
1994 …2020
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Fingerprint Dive into the research topics where Angelia Nedich is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Convex optimization Engineering & Materials Science
Parallel algorithms Engineering & Materials Science
Gradient methods Engineering & Materials Science
Distributed Optimization Mathematics
Directed graphs Engineering & Materials Science
Subgradient Mathematics
Subgradient Method Mathematics
Minimization Problem Mathematics

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Research Output 1994 2019

A Case of Distributed Optimization in Adversarial Environment

Ravi, N., Scaglione, A. & Nedich, A., May 1 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 5252-5256 5 p. 8683442. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Broadcasting

Accelerated Gradient Play Algorithm for Distributed Nash Equilibrium Seeking

Tatarenko, T., Shi, W. & Nedich, A., Jan 18 2019, 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., p. 3561-3566 6 p. 8619479. (Proceedings of the IEEE Conference on Decision and Control; vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nash Equilibrium
Gradient
Cost functions
Cost Function
Strongly Monotone Mapping
1 Citation (Scopus)

A Distributed Stochastic Gradient Tracking Method

Pu, S. & Nedich, A., Jan 18 2019, 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., p. 963-968 6 p. 8618708. (Proceedings of the IEEE Conference on Decision and Control; vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Stochastic Gradient
Cost functions
Cost Function
Iterate
Optimal Solution
2 Citations (Scopus)

A Push-Pull Gradient Method for Distributed Optimization in Networks

Pu, S., Shi, W., Xu, J. & Nedich, A., Jan 18 2019, 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., p. 3385-3390 6 p. 8619047. (Proceedings of the IEEE Conference on Decision and Control; vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Distributed Optimization
Gradient methods
Gradient Method
Cost functions
Cost Function

A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization

Jalilzadeh, A., Nedich, A., Shanbhag, U. V. & Yousefian, F., Jan 18 2019, 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., p. 4097-4102 6 p. 8619209. (Proceedings of the IEEE Conference on Decision and Control; vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Quasi-Newton Method
Convex optimization
Stochastic Optimization
Stochastic Methods
Newton-Raphson method

Projects 2017 2020