| Distributed subgradient methods for multi-agent optimization A Nedic, A Ozdaglar IEEE Transactions on automatic control 54 (1), 48-61, 2009 | 4482 | 2009 |
| Convex analysis and optimization D Bertsekas, A Nedic, A Ozdaglar Athena Scientific, 2003 | 3265 | 2003 |
| Constrained consensus and optimization in multi-agent networks A Nedic, A Ozdaglar, PA Parrilo IEEE Transactions on Automatic Control 55 (4), 922-938, 2010 | 2363 | 2010 |
| Distributed optimization over time-varying directed graphs A Nedić, A Olshevsky IEEE Transactions on Automatic Control 60 (3), 601-615, 2014 | 1430 | 2014 |
| Achieving geometric convergence for distributed optimization over time-varying graphs A Nedic, A Olshevsky, W Shi SIAM Journal on Optimization 27 (4), 2597-2633, 2017 | 1258 | 2017 |
| Distributed stochastic subgradient projection algorithms for convex optimization S Sundhar Ram, A Nedić, VV Veeravalli Journal of optimization theory and applications 147 (3), 516-545, 2010 | 960 | 2010 |
| Incremental subgradient methods for nondifferentiable optimization A Nedic, DP Bertsekas SIAM Journal on Optimization 12 (1), 109-138, 2001 | 802 | 2001 |
| Network topology and communication-computation tradeoffs in decentralized optimization A Nedić, A Olshevsky, MG Rabbat Proceedings of the IEEE 106 (5), 953-976, 2018 | 712 | 2018 |
| On distributed averaging algorithms and quantization effects A Nedic, A Olshevsky, A Ozdaglar, JN Tsitsiklis IEEE Transactions on automatic control 54 (11), 2506-2517, 2009 | 682 | 2009 |
| Subgradient methods for saddle-point problems A Nedić, A Ozdaglar Journal of optimization theory and applications 142 (1), 205-228, 2009 | 604 | 2009 |
| Push–pull gradient methods for distributed optimization in networks S Pu, W Shi, J Xu, A Nedić IEEE Transactions on Automatic Control 66 (1), 1-16, 2020 | 526 | 2020 |
| Approximate primal solutions and rate analysis for dual subgradient methods A Nedić, A Ozdaglar SIAM Journal on Optimization 19 (4), 1757-1780, 2009 | 484 | 2009 |
| Athena scientific optimization and computation series DP Bertsekas Network Optimization: Continuous and Discrete Methods, 1998 | 473 | 1998 |
| Distributed constrained optimization by consensus-based primal-dual perturbation method TH Chang, A Nedić, A Scaglione IEEE Transactions on Automatic Control 59 (6), 1524-1538, 2014 | 464 | 2014 |
| Distributed stochastic gradient tracking methods S Pu, A Nedić Mathematical Programming 187 (1), 409-457, 2021 | 450 | 2021 |
| Distributed asynchronous constrained stochastic optimization K Srivastava, A Nedic IEEE journal of selected topics in signal processing 5 (4), 772-790, 2011 | 406 | 2011 |
| Stochastic gradient-push for strongly convex functions on time-varying directed graphs A Nedić, A Olshevsky IEEE Transactions on Automatic Control 61 (12), 3936-3947, 2016 | 393 | 2016 |
| Distributed optimization for control A Nedić, J Liu Annual Review of Control, Robotics, and Autonomous Systems 1 (1), 77-103, 2018 | 385 | 2018 |
| Distributed algorithms for aggregative games on graphs J Koshal, A Nedić, UV Shanbhag Operations Research 64 (3), 680-704, 2016 | 369 | 2016 |
| Convergence rate of incremental subgradient algorithms A Nedic, D Bertsekas Applied Optimization 54, 223-264, 2001 | 349 | 2001 |
Asuman OzdaglarMathworks Professor, EECS, MITVerified email at mit.edu
