50 citations · 54 across the 2 of their papers we have counts for
3 papers
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I
Sandeep Kumar, Ketan Rajawat, Daniel P. Palomar
In this two-part work, we propose an algorithmic framework for solving non-convex problems whose objective function is the sum of a number of smooth component functions plus a conv…
A Unified Framework for Structured Graph Learning via Spectral Constraints
Sandeep Kumar, Jiaxi Ying, José Vinícius de M. Cardoso +1
Graph learning from data represents a canonical problem that has received substantial attention in the literature. However, insufficient work has been done in incorporating prior s…
Asynchronous Optimization Over Heterogeneous Networks via Consensus ADMM
Sandeep Kumar, Rahul Jain, Ketan Rajawat
This paper considers the distributed optimization of a sum of locally observable, non-convex functions. The optimization is performed over a multi-agent networked system, and each…