3 citations · 3 across the 3 of their papers we have counts for
3 papers
Private Networked Federated Learning for Nonsmooth Objectives
François Gauthier, Cristiano Gratton, Naveen K. D. Venkategowda +1
This paper develops a networked federated learning algorithm to solve nonsmooth objective functions. To guarantee the confidentiality of the participants with respect to each other…
Decentralized Optimization with Distributed Features and Non-Smooth Objective Functions
Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei +1
We develop a new consensus-based distributed algorithm for solving learning problems with feature partitioning and non-smooth convex objective functions. Such learning problems are…
Privacy-Preserving Distributed Zeroth-Order Optimization
C. Gratton, N. K. D. Venkategowda, R. Arablouei +1
We develop a privacy-preserving distributed algorithm to minimize a regularized empirical risk function when the first-order information is not available and data is distributed ov…