2 papers
eess.SP2025
Bayesian Convolutional Neural Networks for Prior Learning in Graph Signal Recovery
Razieh Torkamani, Arash Amini, Hadi Zayyani +1
Graph signal recovery (GSR) is a fundamental problem in graph signal processing, where the goal is to reconstruct a complete signal defined over a graph from a subset of noisy or m…
math.OC2024
Primal-Dual Strategy (PDS) for Composite Optimization Over Directed graphs
Sajad Zandi, Mehdi Korki
We investigate the distributed multi-agent sharing optimization problem in a directed graph, with a composite objective function consisting of a smooth function plus a convex (poss…