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math.OC2019★ 4 cited
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…
math.OC2016
Stochastic Multidimensional Scaling
Ketan Rajawat, Sandeep Kumar
Multidimensional scaling (MDS) is a popular dimensionality reduction techniques that has been widely used for network visualization and cooperative localization. However, the tradi…
math.OC2016
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…