activity
20062026
most citedGossip Algorithms for Distributed Signal Processing

740 citations · 3.9k across the 136 of their papers we have counts for

collaborators

158 papers

math.OC2026

Circuit-Embedded Feeder-State Reconstruction for Low-Voltage Distribution Networks under Extreme Measurement Sparsity

Diana Vieira Fernandes, Carlos Santos Silva, Soummya Kar

Low-voltage (LV) distribution feeders increasingly require internal state information, yet real-time telemetry is often limited to feeder-head active and reactive power, while down…

math.OC2026

Distributed Vector Assembly via Selector-Anchored Diffusion with Local Innovation

Diana Vieira Fernandes, Carlos Santos Silva

We introduce Selector-Anchored Diffusion with Local Innovation (D+LI), a distributed vector-assembly primitive that constructs complete local replicas from independently owned auth…

eess.SP2026

An Optimization Framework for Certain Separable Problems using Neural Networks

Rohit Negi, Soummya Kar

This paper studies a class of parametric constrained optimization problems that are motivated by applications in real time applications. Under a parameter-separable problem structu…

cs.IT2026★ 1 cited

Tackling heavy-tailed noise in distributed estimation: Asymptotic performance and tradeoffs

Dragana Bajovic, Dusan Jakovetic, Soummya Kar +1

We present an algorithm for distributed estimation of an unknown vector parameter in the presence of heavy-tailed observation and communicatio…

eess.SY2025

Stability Analysis of a B-Spline Deep Neural Operator for Nonlinear Systems

Raffaele Romagnoli, Soummya Kar

This paper investigates the stability properties of neural operators through the structured representation offered by the Hybrid B-spline Deep Neural Operator (HBDNO). While existi…

eess.SY2025

Cyber-Resilient System Identification for Power Grid through Bayesian Integration

Shimiao Li, Guannan Qu, Bryan Hooi +3

Power grids increasingly need real-time situational awareness under the ever-evolving cyberthreat landscape. Advances in snapshot-based system identification approaches have enable…