Project-Team:MAGNET

Project-Team Magnet

Team, Visitors, External Collaborators

Overall Objectives

Presentation

Research Program

Application Domains

Domain 1

Highlights of the Year

New Software and Platforms

New Results

On the Bernstein-Hoeffding Method
IncGraph: Incremental graphlet counting for topology optimisation
Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model
A machine learning based framework to identify and classify long terminal repeat retrotransposons
A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm
Personalized and Private Peer-to-Peer Machine Learning
Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images
A Framework for Understanding the Role of Morphology in Universal Dependency Parsing
Online Reciprocal Recommendation with Theoretical Performance Guarantees
On Similarity Prediction and Pairwise Clustering
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds
Nonstochastic Bandits with Composite Anonymous Feedback

Bilateral Contracts and Grants with Industry

Partnerships and Cooperations

Dissemination

Bibliography

Inria | Raweb 2018 | Presentation of the Project-Team MAGNET | MAGNET Web Site


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Section: New Software and Platforms

MyLocalInfo

Keywords: Privacy - Machine learning - Statistics

Functional Description: Decentralized algorithms for machine learning and inference tasks which (1) perform as much computation as possible locally and (2) ensure privacy and security by avoiding personal data leaves devices.

Contact: Nathalie Vauquier
URL: https://gitlab.inria.fr/magnet/mylocalinfo

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