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Dive into the research topics where Necdet S. Aybat is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Collaborative Proposal: Robust Primal-Dual Algorithms for Saddle Point Problems with Applications to Multi-Agent Systems
Aybat, N. S. (PI)
4/1/21 → …
Project: Research project
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Decentralized Power Flow Optimization on Electricity Grids via Distributed Consensus Methods
Aybat, N. S. (PI)
9/1/16 → 8/31/20
Project: Research project
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Resolving Parametric Misspecification: Joint Schemes for Computation and Learning
Shanbhag, U. (PI) & Aybat, N. S. (CoPI)
8/1/14 → 7/31/18
Project: Research project
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A Fast Row-Stochastic Decentralized Method for Distributed Optimization Over Directed Graphs
Ghaderyan, D., Aybat, N. S., Aguiar, A. P. & Pereira, F. L., Jan 1 2024, In: IEEE Transactions on Automatic Control. 69, 1, p. 275-289 15 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
Zhang, X., Mancino-Ball, G., Aybat, N. S. & Xu, Y., Mar 25 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 18, p. 20865-20873 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Lp quasi-norm minimization: algorithm and applications
Sleem, O. M., Ashour, M. E., Aybat, N. S. & Lagoa, C. M., Dec 2024, In: Eurasip Journal on Advances in Signal Processing. 2024, 1, 22.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
ROBUST ACCELERATED PRIMAL-DUAL METHODS FOR COMPUTING SADDLE POINTS
Zhang, X., Aybat, N. S. & Gürbüzbalaban, M., 2024, In: SIAM Journal on Optimization. 34, 1, p. 1097-1130 34 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Randomized Primal-Dual Methods with Adaptive Step Sizes
Hamedani, E. Y., Jalilzadeh, A. & Aybat, N. S., 2023, In: Proceedings of Machine Learning Research. 206, p. 11185-11212 28 p.Research output: Contribution to journal › Conference article › peer-review