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Collaborations and top research areas from the last five years
Grants
- 8 Finished
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Collaborative Research: SaTC: CORE: Medium: Foundations of Trust-Centered Multi-Agent Distributed Coordination
Nedich, A. (PI)
National Science Foundation (NSF)
6/15/22 → 5/31/26
Project: Research project
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Unifying Information- and Optimization-theoretic approaches for modeling and training Generative Adversarial Networks
Nedich, A. (CoI), Lan, S. (CoI), Sankar, L. (PI) & Pedrielli, G. (CoI)
National Science Foundation (NSF)
10/1/21 → 9/30/24
Project: Research project
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Collaborative Research: CIF:Medium: Harnessing Intrinsic Dynamics for Inherently Privacy-preserving Decentralized Optimization
Nedich, A. (PI)
National Science Foundation (NSF)
6/1/21 → 5/31/25
Project: Research project
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Random Methods for Large-Scale Optimization
Nedich, A. (PI)
DOD-NAVY: Office of Naval Research (ONR)
2/18/21 → 8/17/24
Project: Research project
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Distributed Quasi-Newton Methods for Nonsmooth Optimization
Nedich, A. (PI)
National Science Foundation (NSF)
3/1/19 → 8/31/20
Project: Research project
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An accelerated distributed stochastic gradient method with momentum
Huang, K., Pu, S. & Nedić, A., Jan 2026, In: Mathematical Programming. 215, 1-2, p. 193-236 44 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
Bi-CrowdCache: A Decentralized Game-Theoretic Model for Edge Content Sharing Over Time-Varying Communication Networks
Nguyen, D. T. A., Cheng, J., Trieu, N., Nguyen, D. T. & Nedić, A., 2026, In: IEEE Transactions on Mobile Computing. 25, 2, p. 2895-2907 13 p.Research output: Contribution to journal › Article › peer-review
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Correction: An accelerated distributed stochastic gradient method with momentum (Mathematical Programming, (2026), 215, 1-2, (193-236), 10.1007/s10107-025-02217-0)
Huang, K., Pu, S. & Nedić, A., Jan 2026, In: Mathematical Programming. 215, 1-2, p. 859-861 3 p.Research output: Contribution to journal › Comment/debate › peer-review
Open Access -
Corrections to "Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems" (IEEE Transactions on Robotics (2022) 38:1 (71-91) DOI: 10.1109/TRO.2021.3088054)
Yemini, M., Nedic, A., Goldsmith, A. J. & Gil, S., 2026, In: IEEE Transactions on Robotics. 42, p. 1128-1129 2 p.Research output: Contribution to journal › Comment/debate › peer-review
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AB/Push-Pull method for distributed optimization in time-varying directed networks
Nedić, A., Nguyen, D. T. A. & Nguyen, D. T., 2025, In: Optimization Methods and Software. 40, 5, p. 1044-1071 28 p.Research output: Contribution to journal › Article › peer-review
8 Link opens in a new tab Scopus citations
Press/Media
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A Framework For Making Networks of Robots and Vehicles Safer
4/6/26
1 item of Media coverage
Press/Media: Press / Media
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Do You Trust Me? A Framework For Making Networks of Robots and Vehicles Safer
4/2/26 → 4/6/26
4 items of Media coverage
Press/Media: Press / Media
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Research Conducted at Arizona State University Has Provided New Information about Mathematics (Bi-crowdcache: a Decentralized Game-theoretic Model for Edge Content Sharing Over Time-varying Communication Networks)
Nedich, A., Trieu, N. & Nguyen, D.
2/24/26
1 item of Media coverage
Press/Media: Press / Media
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CS Colloquium Series - Angelia Nedich (ASU)
1/26/26
1 item of Media coverage
Press/Media: Press / Media
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Findings from Arizona State University in Networks Reported (Distributed Nash Equilibrium Seeking Over Time-varying Directed Communication Networks)
10/29/25
1 item of Media coverage
Press/Media: Press / Media