César A. Uribe, the Louis Owen Assistant Professor of Electrical and Computer Engineering (ECE) at Rice, has received a Google Scholar Award and been named a 2024 Digital Futures Fellow by the KTH Royal Institute of Technology in Sweden.
Uribe’s proposal to Google is titled “Enabling Next-Generation Performance for Efficient Distributed Training.”
“Machine-learning requires massive amounts of data and computation to train and adapt. My proposal aims to develop efficient methods for fast, scalable distributed training over diverse data from multiple sources. Our goal is to design new algorithms for distributed training that provide low complexity and high performance,” Uribe said.
His proposal to KTH is titled “Decentralization, Optimality, Scalability, and Robustness for the Greater Good.”
“Training machine-learning systems requires expensive computational power and data. Collaborative learning has proven effective in large-scale distributed settings, models, and distributions. Data access heterogeneity creates fundamental problems when deciding how to align or transfer a model across agents, which stalls decentralization in the wild,” Uribe said.
His research interests include distributed learning and optimization, decentralized control, algorithm analysis and computational optimal transport.
Uribe earned his M.S. in applied mathematics and Ph.D. in ECE from the University of Illinois at Urbana-Champaign in 2016 and 2018, respectively. He served as a postdoctoral researcher at MIT and joined the Rice faculty in 2021. He was also a visiting professor at the Moscow Institute of Physics and Technology from 2019 to 2022.