1 code implementation • 14 Jul 2021 • David Roschewitz, Mary-Anne Hartley, Luca Corinzia, Martin Jaggi
Thus, enabling the detection of outlier datasets in the federation and also learning the compensation for local data distribution shifts without sharing any original data.
no code implementations • 25 Jan 2021 • Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
The result follows from two main technical points: (i) the connection established between the MLE and the MMSE, using the first and second-moment methods in the constrained signal space, (ii) a recovery regime for the MMSE stricter than the simple error vanishing characterization given in the standard AoN, that is here proved as a general result.
no code implementations • 23 Nov 2020 • Luca Corinzia, Paolo Penna, Wojciech Szpankowski, Joachim M. Buhmann
In this work, we consider the problem of recovery a planted $k$-densest sub-hypergraph on $d$-uniform hypergraphs.
no code implementations • 13 Aug 2020 • Luca Corinzia, Fabian Laumer, Alessandro Candreva, Maurizio Taramasso, Francesco Maisano, Joachim M. Buhmann
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 tasks, e. g.\ diagnosis of mitral valve diseases, surgical planning, and intraoperative procedures.
no code implementations • 14 Jun 2019 • Luca Corinzia, Ami Beuret, Joachim M. Buhmann
Despite federated multi-task learning being shown to be an effective paradigm for real-world datasets, it has been applied only on convex models.
no code implementations • 15 Sep 2017 • Kevin Scaman, Argyris Kalogeratos, Luca Corinzia, Nicolas Vayatis
Information Cascades Model captures dynamical properties of user activity in a social network.