93 citations · 221 across the 21 of their papers we have counts for
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cs.LG2024
Hierarchical Federated ADMM
Seyed Mohammad Azimi-Abarghouyi, Nicola Bastianello, Karl H. Johansson +1
In this paper, we depart from the widely-used gradient descent-based hierarchical federated learning (FL) algorithms to develop a novel hierarchical FL framework based on the alter…
cs.LG2021
OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression
Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese
This paper presents a new regularization approach -- termed OpReg-Boost -- to boost the convergence and lessen the asymptotic error of online optimization and learning algorithms.…