most citedNon-asymptotic Estimation of Sparse Partial Correlation via Joint Partial Regression

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2026

Clipping Makes Distributed and Federated Asynchronous SGD Robust to Stragglers

Samuel Erickson, Mikael Johansson

In modern machine learning, parallelization of training is an important strategy for increasing scale. Asynchronous stochastic gradient descent (ASGD), which maximizes the utilizat…

cs.LG2025

Data-Driven Laplacian-Constrained Personalized Federated Learning

Samuel Erickson, Mikael Johansson

Personalization addresses one of the defining challenges in federated learning: statistical heterogeneity among clients. We show that the dissimilarity between the ideal personaliz…