3 papers
cs.LG2025
Federated Low-Rank Tensor Estimation for Multimodal Image Reconstruction
Anh Van Nguyen, Diego Klabjan, Minseok Ryu +2
Low-rank tensor estimation offers a powerful approach to addressing high-dimensional data challenges and can substantially improve solutions to ill-posed inverse problems, such as…
cs.DC2025
A GPU-Accelerated Distributed Algorithm for Optimal Power Flow in Distribution Systems
Minseok Ryu, Geunyeong Byeon, Kibaek Kim
We propose a GPU-accelerated distributed optimization algorithm for controlling multi-phase optimal power flow in active distribution systems with dynamically changing topologies.…
math.OC2025
FIRM: Federated Image Reconstruction using Multimodal Tomographic Data
Geunyeong Byeon, Minseok Ryu, Zichao Wendy Di +1
We propose a federated algorithm for reconstructing images using multimodal tomographic data sourced from dispersed locations, addressing the challenges of traditional unimodal app…