Artificial Intelligence & Privacy Protection
Invited talk at the kick-off seminar of the HumAIn Alliance in Artificial Intelligence, 2019.
Collaborative Machine Learning in Large-Scale Peer-to-Peer Distributed Systems
Seminar at Inria WIDE, 2018.
Invited talk at the 4th GDR RSD and ASF Winter School on Distributed Systems and Networks, 2019.
The Natural Privacy of Gossip Protocols: First Results and Open Questions
Talk at the Workshop on Privacy-Aware Distributed Machine Learning , 2018.
A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries
Seminar at Inria Sequel, Inria Multispeech, CMLA, Naver Labs Europe, Alan Turing Institute and Thales Research & Technology, 2017-2019.
Invited talk at the 2nd Russian-French Workshop in Big Data and Applications, 2017.
Invited talk at the EPFL-Inria Workshop, 2018.
Invited talk at the Journées de Statistique (session SSFAM), 2018.
A Decentralized and Robust Protocol for Private Averaging over Highly Distributed Data
Seminar at CRIStAL Lille (DaTinG department day), 2017.
Invited talk at the DALI 2017 Workshop on Fairness and Privacy in Machine Learning, 2017.
Seminar at Inria Magnet and LPD Lab - EPFL, 2016-2017.
Invited talk at the Workshop on Distributed Machine Learning (Télécom ParisTech), 2016.
Invited talk at the Journée Apprentissage et Interactions du GdR IA (UPMC), 2017.
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics
Invited talk at the International Workshop on Machine learning, Optimization and Big Data (MOD 2015), 2015.
The Frank-Wolfe Algorithm: Recent Results and Applications to High-Dimensional Similarity Learning and Distributed Optimization
Seminar at LIP6 UPMC, LaHC Saint-Étienne, Heudiasyc Compiègne, LIF Marseille, Inria Magnet, LIG Grenoble, CEREMADE Paris Dauphine, IMT Toulouse, LRI Inria/Paris Sud, AgroParisTech, Séminaire Parisien de Statistique and ENS/Inria Paris, 2014-2015.
Invited talk at ICML 2015 workshop "Greed is Great", 2015.