Working Papers
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A Private and Finite-Time Algorithm for Solving a Distributed System of Linear Equations
Papers
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Preserving Statistical Privacy in Distributed Optimization
Nirupam Gupta, Shripad Gade, Nikhil Chopra, Nitin H. Vaidya
IEEE Control Systems Letters, Vol. 5 No. 3, 2021
pdf | link | arXiv -
On Privatizing Equilibrium Computation in Aggregate Games over Networks
Shripad Gade, Anna Winnicki, Subhonmesh Bose
IFAC World Congress, 2020
pdf | arXiv -
Toward Resilient Multi-Agent Actor-Critic Algorithms for Distributed Reinforcement Learning
Yixuan Lin, Shripad Gade, Romeil Sandhu, Ji Liu
IEEE ACC, 2020
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Privacy-Preserving Distributed Learning via Obfuscated Stochastic Gradients
Shripad Gade, Nitin H. Vaidya
IEEE CDC, 2018
pdf | link | tech report -
Private Optimization on Networks
Shripad Gade, Nitin H. Vaidya
IEEE ACC, 2018
pdf | link | tech report -
Robotic Herding using Wavefront Algorithm: Performance and Stability
Shripad Gade, Aditya Paranjape, Soon-Jo Chung
AIAA GNC, 2016
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Herding a Flock of Birds Approaching an Airport Using an Unmanned Aerial Vehicle
Shripad Gade, Aditya Paranjape, Soon-Jo Chung
AIAA GNC, 2015
pdf | link -
Heterogeneous UAV Swarm System for Target Search in Adversarial Environment
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The 3-Point Method: A Fast, Accurate and Robust Solution to Vanishing Point Estimation
Vinod Saini, Shripad Gade, M. Prasad, S. Chatterjee
WSCG, 2013
pdf | link -
Human-in-Loop Hierarchical Control of Multi-UAV Systems
Patents
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Computation Service for Mobile Nodes in a Roadway Environment
Shripad Gade, Lewis Tseng, Kentaro Oguchi
US Patent 10,567,923, 2020
pdf | link
Technical Reports
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Private Learning on Networks: Part II
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Private Learning on Networks
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Distributed Optimization of Convex Sum of Non-Convex Functions
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Distributed Optimization for Client-Server Architecture with Negative Gradient Weights