Shripad Gade

According to our database, Shripad Gade authored at least 11 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Preserving Statistical Privacy in Distributed Optimization.

Nirupam Gupta, Shripad Gade, Nikhil Chopra, Nitin H. Vaidya

IEEE Control. Syst. Lett., 2021

2020

Accuracy-aware privacy mechanisms for distributed computation

Shripad Gade

PhD thesis, 2020

A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations.

Shripad Gade, Ji Liu, Nitin H. Vaidya

CoRR, 2020

Toward Resilient Multi-Agent Actor-Critic Algorithms for Distributed Reinforcement Learning.

Yixuan Lin, Shripad Gade, Romeil Sandhu, Ji Liu

Proceedings of the 2020 American Control Conference, 2020

2019

On Privatizing Equilibrium Computation in Aggregate Games over Networks.

Shripad Gade, Anna Winnicki, Subhonmesh Bose

CoRR, 2019

2018

Privacy-Preserving Distributed Learning via Obfuscated Stochastic Gradients.

Shripad Gade, Nitin H. Vaidya

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Private Optimization on Networks.

Shripad Gade, Nitin H. Vaidya

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Private Learning on Networks: Part II.

Shripad Gade, Nitin H. Vaidya

CoRR, 2017

2016

Private Learning on Networks.

Shripad Gade, Nitin H. Vaidya

CoRR, 2016

Distributed Optimization of Convex Sum of Non-Convex Functions.

Shripad Gade, Nitin H. Vaidya

CoRR, 2016

Distributed Optimization for Client-Server Architecture with Negative Gradient Weights.

Shripad Gade, Nitin H. Vaidya

CoRR, 2016