| Communication-Efficient Algorithms for Decentralized and Stochastic Optimization G Lan, S Lee, Y Zhou https://arxiv.org/abs/1701.03961, 2017 | 191 | 2017 |
| Distributed random projection algorithm for convex optimization S Lee, A Nedic IEEE Journal of Selected Topics in Signal Processing 7 (2), 221-229, 2013 | 187 | 2013 |
| A dual approach for optimal algorithms in distributed optimization over networks CA Uribe, S Lee, A Gasnikov, A Nedić 2020 Information Theory and Applications Workshop (ITA), 1-37, 2020 | 119 | 2020 |
| On stochastic subgradient mirror-descent algorithm with weighted averaging A Nedic, S Lee SIAM Journal on Optimization 24 (1), 84-107, 2014 | 98 | 2014 |
| Asynchronous gossip-based random projection algorithms over networks S Lee, A Nedić IEEE Transactions on Automatic Control 61 (4), 953-968, 2015 | 76 | 2015 |
| Stochastic dual averaging for decentralized online optimization on time-varying communication graphs S Lee, A Nedić, M Raginsky IEEE Transactions on Automatic Control 62 (12), 6407-6414, 2017 | 53 | 2017 |
| Optimal algorithms for distributed optimization CA Uribe, S Lee, A Gasnikov, A Nedić arXiv preprint arXiv:1712.00232, 2017 | 38 | 2017 |
| Decentralized online optimization with global objectives and local communication A Nedić, S Lee, M Raginsky 2015 American Control Conference (ACC), 4497-4503, 2015 | 35 | 2015 |
| On the sublinear regret of distributed primal-dual algorithms for online constrained optimization S Lee, MM Zavlanos arXiv preprint arXiv:1705.11128, 2017 | 29 | 2017 |
| Coordinate dual averaging for decentralized online optimization with nonseparable global objectives S Lee, A Nedić, M Raginsky IEEE Transactions on Control of Network Systems 5 (1), 34-44, 2016 | 25 | 2016 |
| Approximate Projections for Decentralized Optimization with Functional Constraints S Lee, MM Zavlanos arXiv preprint arXiv:1509.08007, 2015 | 19* | 2015 |
| Complexity certification of a distributed augmented lagrangian method S Lee, N Chatzipanagiotis, MM Zavlanos IEEE Transactions on Automatic Control 63 (3), 827-834, 2017 | 16 | 2017 |
| Distributed continuous-time online optimization using saddle-point methods S Lee, A Ribeiro, MM Zavlanos 2016 IEEE 55th Conference on Decision and Control (CDC), 4314-4319, 2016 | 16 | 2016 |
| Distributed constrained online learning S Paternain, S Lee, MM Zavlanos, A Ribeiro IEEE Transactions on Signal Processing 68, 3486-3499, 2020 | 14 | 2020 |
| Distributed Active State Estimation with User-Specified Accuracy C Freundlich, S Lee, MM Zavlanos arXiv preprint arXiv:1706.01576, 2017 | 14 | 2017 |
| Distributed primal-dual methods for online constrained optimization S Lee, MM Zavlanos 2016 American Control Conference (ACC), 7171-7176, 2016 | 14 | 2016 |
| DrSVM: Distributed random projection algorithms for SVMs S Lee, A Nedić 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 5286-5291, 2012 | 7 | 2012 |
| A distributed augmented Lagrangian method for model predictive control S Lee, N Chatzipanagiotis, MM Zavlanos 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2888-2893, 2017 | 5 | 2017 |
| Approximate projections for decentralized optimization with SDP constraints S Lee, MM Zavlanos Decision and Control (CDC), 2016 IEEE 55th Conference on, 1030-1035, 2016 | 5 | 2016 |
| Decentralized online optimization with global objectives and local communication S Lee, A Nedic, M Raginsky arXiv preprint arXiv:1508.07933, 2015 | 5 | 2015 |
Angelia NedichProfessor, Arizona State UniversityVerified email at asu.edu
