Peter Richtarik is a Slovak mathematician and computer scientist[1] working in the area of big data optimization and machine learning, known for his work on randomized coordinate descent algorithms, stochastic gradient descent and federated learning.
Richtarik earned a master's degree in mathematics from Comenius University, Slovakia, in 2001, graduating summa cum laude.
[2] In 2007, he obtained a PhD in operations research from Cornell University, advised by Michael Jeremy Todd.
[3][4] Between 2007 and 2009, he was a postdoctoral scholar in the Center for Operations Research and Econometrics and Department of Mathematical Engineering at Universite catholique de Louvain, Belgium, working with Yurii Nesterov.
[7] Richtarik founded and organizes a conference series entitled "Optimization and Big Data".