most citedPartitioned Variational Inference: A Framework for Probabilistic Federated Learning

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2022★ 6 cited

Partitioned Variational Inference: A Framework for Probabilistic Federated Learning

Matthew Ashman, Thang D. Bui, Cuong V. Nguyen +4

The proliferation of computing devices has brought about an opportunity to deploy machine learning models on new problem domains using previously inaccessible data. Traditional alg…

math.FA2017

An intuitive proof of the Dvoretzky-Hanani theorem in R^2

Efstratios Markou

The Dvoretzky-Hanani theorem states that the general term of any perfectly divergent series in a finite dimensional space does not tend to zero. An intuitive proof is provided R2 u…