*(co-)supervised students/postdocs

^#co-first author

Preprints

Z. Song*, L. Shi, S. Pu, M. Yan, Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs.

Z. Song*, L. Shi, S. Pu, M. Yan, Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks.

Y. Liao*, Z. Li*, K. Huang*, S. Pu, Compressed gradient tracking for decentralized optimization with linear convergence.

K. Huang* and S. Pu, Improving the Transient Times for Distributed Stochastic Gradient Methods, submitted.

S. Pu, A. Olshevsky and I.C. Paschalidis, A Sharp Estimate on the Transient Time of Distributed Stochastic Gradient Descent, submitted.

Journal Publications

R. Xin, S. Pu, A. Nedich and U. Khan. A General Framework for Decentralized Optimization With First-Order Methods. Proceedings of the IEEE, 108(11):1869-1889, 2020.

S. Pu and A. Nedich. Distributed Stochastic Gradient Tracking Methods. Mathematical Programming, 2020.

S. Pu, A. Olshevsky and I.C. Paschalidis, Asymptotic Network Independence In Distributed Stochastic Optimization for Machine Learning, IEEE Signal Processing Magazine, 37(3):114-122.

S. Pu, W. Shi^#, J. Xu and A. Nedich. Push-Pull Gradient Methods for Distributed Optimization in Networks. IEEE Transactions on Automatic Control, 2020.

S. Pu, J.J. Escudero-Garzas, A. Garcia and S. Shahrampour. An Online Mechanism for Resource Allocation in Networks. IEEE Transactions on Control of Network Systems, 2020.

S. Pu and A. Garcia. Swarming for Faster Convergence in Stochastic Optimization. SIAM Journal on Control and Optimization, 56(4):2997-3020, 2018.

S. Pu and A. Garcia. A Flocking-based Approach for Distributed Stochastic Optimization. Operations Research, 66(1):267-281, 2018.

S. Pu, A. Garcia and Z. Lin. Noise Reduction by Swarming in Social Foraging. IEEE Transactions on Automatic Control, 61(12):4007-4013, 2016.

Conference Proceedings

S. Pu, A Robust Gradient Tracking Method for Distributed Optimization over Directed Networks, 2020 IEEE 59th Conference on Decision and Control (CDC), accepted.

S. Pu and A. Nedich. A Distributed Stochastic Gradient Tracking Method. 2018 IEEE 57th Conference on Decision and Control (CDC). [arxiv]

S. Pu, W. Shi, J. Xu and A. Nedich. A Push-Pull Gradient Method for Distributed Optimization in Networks. 2018 IEEE 57th Conference on Decision and Control (CDC). [arxiv]