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Private Networked Federated Learning for Nonsmooth Objectives
This paper develops a networked federated learning algorithm to solve nonsmooth objective functions.
Decentralized Optimization with Distributed Features and Non-Smooth Objective Functions
We develop a new consensus-based distributed algorithm for solving learning problems with feature partitioning and non-smooth convex objective functions.
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