12 citations · 41 across the 8 of their papers we have counts for
4 papers · 1 filter
Private Learning on Networks: Part II
Shripad Gade, Nitin H. Vaidya
This paper considers a distributed multi-agent optimization problem, with the global objective consisting of the sum of local objective functions of the agents. The agents solve th…
Private Learning on Networks
Shripad Gade, Nitin H. Vaidya
Continual data collection and widespread deployment of machine learning algorithms, particularly the distributed variants, have raised new privacy challenges. In a distributed mach…
Distributed Optimization of Convex Sum of Non-Convex Functions
Shripad Gade, Nitin H. Vaidya
We present a distributed solution to optimizing a convex function composed of several non-convex functions. Each non-convex function is privately stored with an agent while the age…
Distributed Optimization for Client-Server Architecture with Negative Gradient Weights
Shripad Gade, Nitin H. Vaidya
Availability of both massive datasets and computing resources have made machine learning and predictive analytics extremely pervasive. In this work we present a synchronous algorit…