5 citations · 12 across the 4 of their papers we have counts for
8 papers
IFedAvg: Interpretable Data-Interoperability for Federated Learning
David Roschewitz, Mary-Anne Hartley, Luca Corinzia +1
Recently, the ever-growing demand for privacy-oriented machine learning has motivated researchers to develop federated and decentralized learning techniques, allowing individual cl…
On maximum-likelihood estimation in the all-or-nothing regime
Luca Corinzia, Paolo Penna, Wojciech Szpankowski +1
We study the problem of estimating a rank-1 additive deformation of a Gaussian tensor according to the \emph{maximum-likelihood estimator} (MLE). The analysis is carried out in the…
Statistical and computational thresholds for the planted -densest sub-hypergraph problem
Luca Corinzia, Paolo Penna, Wojciech Szpankowski +1
In this work, we consider the problem of recovery a planted -densest sub-hypergraph on -uniform hypergraphs. This fundamental problem appears in different contexts, e.g., com…
Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography
Luca Corinzia, Fabian Laumer, Alessandro Candreva +3
The segmentation of the mitral valve annulus and leaflets specifies a crucial first step to establish a machine learning pipeline that can support physicians in performing multiple…
The Next 700 Policy Miners: A Universal Method for Building Policy Miners
Carlos Cotrini, Luca Corinzia, Thilo Weghorn +1
A myriad of access control policy languages have been and continue to be proposed. The design of policy miners for each such language is a challenging task that has required specia…
Variational Federated Multi-Task Learning
Luca Corinzia, Ami Beuret, Joachim M. Buhmann
In federated learning, a central server coordinates the training of a single model on a massively distributed network of devices. This setting can be naturally extended to a multi-…