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2020 – today
- 2021
[j1]Nirupam Gupta
, Shripad Gade, Nikhil Chopra, Nitin H. Vaidya:
Preserving Statistical Privacy in Distributed Optimization. IEEE Control. Syst. Lett. 5(3): 779-784 (2021)- 2020
- [b1]Shripad Gade:
Accuracy-aware privacy mechanisms for distributed computation. University of Illinois Urbana-Champaign, USA, 2020 - [c3]Yixuan Lin, Shripad Gade, Romeil Sandhu, Ji Liu:
Toward Resilient Multi-Agent Actor-Critic Algorithms for Distributed Reinforcement Learning. ACC 2020: 3953-3958 - [i7]Nirupam Gupta, Shripad Gade, Nikhil Chopra, Nitin H. Vaidya:
Preserving Statistical Privacy in Distributed Optimization. CoRR abs/2004.01312 (2020) - [i6]Shripad Gade, Ji Liu, Nitin H. Vaidya:
A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations. CoRR abs/2004.04680 (2020)
2010 – 2019
- 2019
- [i5]Shripad Gade, Anna Winnicki, Subhonmesh Bose:
On Privatizing Equilibrium Computation in Aggregate Games over Networks. CoRR abs/1912.06296 (2019) - 2018
- [c2]Shripad Gade, Nitin H. Vaidya:
Private Optimization on Networks. ACC 2018: 1402-1409 - [c1]Shripad Gade, Nitin H. Vaidya:
Privacy-Preserving Distributed Learning via Obfuscated Stochastic Gradients. CDC 2018: 184-191 - 2017
- [i4]Shripad Gade, Nitin H. Vaidya:
Private Learning on Networks: Part II. CoRR abs/1703.09185 (2017) - 2016
- [i3]Shripad Gade, Nitin H. Vaidya:
Distributed Optimization for Client-Server Architecture with Negative Gradient Weights. CoRR abs/1608.03866 (2016) - [i2]Shripad Gade, Nitin H. Vaidya:
Distributed Optimization of Convex Sum of Non-Convex Functions. CoRR abs/1608.05401 (2016) - [i1]Shripad Gade, Nitin H. Vaidya:
Private Learning on Networks. CoRR abs/1612.05236 (2016)
Coauthor Index
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