IC
  • Bio
  • Papers
  • Experience
  • Teaching
  • Publications
    • Decentralized Ranking Aggregation via Gossip: Convergence and Robustness
    • On Gossip Algorithms for Machine Learning with Pairwise Objectives
    • Fast and Efficient Asynchronous Gossip Algorithm for Robust and Non-Smooth Convex Decentralized Learning
    • Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
    • Adaptive Sample Sharing for Multi Agent Linear Bandits
    • Differentially Private Policy Gradient
    • Asynchronous Gossip Algorithms for Rank-Based Statistical Methods
    • Wireless Parameter Tuning with Clustering Multi-Agents in Linear Stochastic Bandit
    • Differentially Private Model-Based Offline Reinforcement Learning
    • Measures of diversity and space-filling designs for categorical data
    • Method and system for a controller
    • Multi-agent best arm identification with private communications
    • Price of Safety in Linear Best Arm Identification
    • Stable bounds on the duality gap of separable nonconvex optimization problems
    • An α-No-Regret Algorithm For Graphical Bilinear Bandits
    • Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm
    • Best Arm Identification in Graphical Bilinear Bandits
    • A simple and efficient smoothing method for faster optimization and local exploration
    • Refined bounds for randomized experimental design
    • Theoretical limits of pipeline parallel optimization and application to distributed deep learning
    • Parallel Contextual Bandits in Wireless Handover Optimization
    • An Approximate Shapley-Folkman Theorem
    • Adaptation des méthodes d’apprentissage aux U-statistiques
    • Adapting machine learning methods to U-statistics
    • Decentralized Topic Modelling with Latent Dirichlet Allocation
    • Gossip dual averaging for decentralized optimization of pairwise functions
    • Scaling-up empirical risk minimization: optimization of incomplete U-statistics
    • Un algorithme de Gossip pour l’optimisation décentralisée de fonctions sur les paires
    • Extending gossip algorithms to distributed estimation of U-statistics
    • Learning information cascades in social networks
  • Experience
  • Teaching
    • Sequential Decision

On Gossip Algorithms for Machine Learning with Pairwise Objectives

Mar 25, 2026·
Igor Colin
,
Aurélien Bellet
,
Stephan Clémençon
,
Joseph Salmon
· 0 min read
PDF Cite
Type
Journal article
Publication
Transactions on Machine Learning Research
Last updated on Mar 25, 2026
← Decentralized Ranking Aggregation via Gossip: Convergence and Robustness Oct 1, 2026
Fast and Efficient Asynchronous Gossip Algorithm for Robust and Non-Smooth Convex Decentralized Learning Jan 28, 2026 →

© 2026 Igor Colin. This work is licensed under CC BY NC ND 4.0

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.