Timezone: »
Personalized and Private Peer-to-Peer Machine Learning
Aurélien Bellet · Rachid Guerraoui · Marc Tommasi
Sat Dec 09 02:00 PM -- 02:15 PM (PST) @
Author Information
Aurélien Bellet (INRIA)
Rachid Guerraoui (EPFL)
EPFL Professor
Marc Tommasi (INRIA)
More from the Same Authors
-
2020 : Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties »
Aurélien Bellet -
2020 : Privacy Amplification by Decentralization »
Aurélien Bellet -
2022 : Refined Convergence and Topology Learning for Decentralized Optimization with Heterogeneous Data »
Batiste Le bars · Aurélien Bellet · Marc Tommasi · Erick Lavoie · Anne-marie Kermarrec -
2022 : Fairness Certificates for Differentially Private Classification »
Paul Mangold · Michaël Perrot · Marc Tommasi · Aurélien Bellet -
2022 Poster: FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings »
Jean Ogier du Terrail · Samy-Safwan Ayed · Edwige Cyffers · Felix Grimberg · Chaoyang He · Regis Loeb · Paul Mangold · Tanguy Marchand · Othmane Marfoq · Erum Mushtaq · Boris Muzellec · Constantin Philippenko · Santiago Silva · Maria Teleńczuk · Shadi Albarqouni · Salman Avestimehr · Aurélien Bellet · Aymeric Dieuleveut · Martin Jaggi · Sai Praneeth Karimireddy · Marco Lorenzi · Giovanni Neglia · Marc Tommasi · Mathieu Andreux -
2022 Poster: Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging »
Edwige Cyffers · Mathieu Even · Aurélien Bellet · Laurent Massoulié -
2021 Poster: Federated Multi-Task Learning under a Mixture of Distributions »
Othmane Marfoq · Giovanni Neglia · Aurélien Bellet · Laetitia Kameni · Richard Vidal -
2021 Poster: Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) »
El Mahdi El-Mhamdi · Sadegh Farhadkhani · Rachid Guerraoui · Arsany Guirguis · Lê-Nguyên Hoang · Sébastien Rouault -
2020 Workshop: Privacy Preserving Machine Learning - PriML and PPML Joint Edition »
Borja Balle · James Bell · Aurélien Bellet · Kamalika Chaudhuri · Adria Gascon · Antti Honkela · Antti Koskela · Casey Meehan · Olga Ohrimenko · Mi Jung Park · Mariana Raykova · Mary Anne Smart · Yu-Xiang Wang · Adrian Weller -
2020 Session: Orals & Spotlights Track 10: Social/Privacy »
Yanan Sui · Aurélien Bellet -
2018 Workshop: Privacy Preserving Machine Learning »
Adria Gascon · Aurélien Bellet · Niki Kilbertus · Olga Ohrimenko · Mariana Raykova · Adrian Weller -
2018 : Aurélien Bellet »
Aurélien Bellet -
2017 Poster: Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning »
El Mahdi El-Mhamdi · Rachid Guerraoui · Hadrien Hendrikx · Alexandre Maurer -
2017 Spotlight: Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning »
El Mahdi El-Mhamdi · Rachid Guerraoui · Hadrien Hendrikx · Alexandre Maurer -
2017 Poster: Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent »
Peva Blanchard · El Mahdi El-Mhamdi · Rachid Guerraoui · Julien Stainer -
2016 Workshop: Private Multi-Party Machine Learning »
Borja Balle · Aurélien Bellet · David Evans · Adrià Gascón -
2016 Poster: On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability »
Guillaume Papa · Aurélien Bellet · Stephan Clémençon -
2015 Poster: SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk »
Guillaume Papa · Stéphan Clémençon · Aurélien Bellet -
2015 Poster: Extending Gossip Algorithms to Distributed Estimation of U-statistics »
Igor Colin · Aurélien Bellet · Joseph Salmon · Stéphan Clémençon -
2015 Spotlight: Extending Gossip Algorithms to Distributed Estimation of U-statistics »
Igor Colin · Aurélien Bellet · Joseph Salmon · Stéphan Clémençon -
2012 Poster: Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling »
Antonino Freno · Mikaela Keller · Marc Tommasi