Français Anglais
Accueil Annuaire Plan du site
Accueil > Production scientifique > Résultat majeur
Production scientifique
Résultat majeur : DISTRIBUTED TREE DECOMPOSITION WITH PRIVACY
DISTRIBUTED TREE DECOMPOSITION WITH PRIVACY
29 juin 2012

Vincent Armant, Laurent Simon and Philippe Dague in 18th International Conference on Principles and Practice of Constraint Programming
Tree Decomposition of Graphical Models is a well known method for mapping a graph into a tree, that is commonly used to speed up solving many problems in Graph theory, Constraints optimization, Planning, Databases, Knowledge Representation, ...
However, in a distributed case, one may have to respect the privacy rules (a subset of variables may have to be kept secret in a peer), and the initial network architecture (no link can be dynamically added). In this context, we propose a new distributed method, based on token passing and local elections, that shows performances (in the jointree quality) close to the state of the art Bucket Elimination in a centralized case ie when used without these two restrictions). Until now, the state of the art in distributed context was using a Depth-First traversal with a clever heuristic. It is outperformed by our method on two families of problems sharing the small-world property.



Activités de recherche
  ° Compilation de bases de connaissances
  ° Algorithmique répartie
  ° Optimisation
  ° Algorithmique de graphes
  ° Pair à Pair

Equipe
  ° Intelligence Artificielle et Systèmes d'Inférence

Contact
  [aucun]
Résultats majeurs
BEST STUDENT PAPER AWARD (ML) AT ECML 2019
20 septembre 2019
Guillaume Doquet (A&O), Best Student Paper Award (category Machine Learning) at ECML 2019.

BEST PAPER AWARD - HPCS 2019 - ON SERVER-SIDE FILE ACCESS PATTERN MATCHING
17 juillet 2019
Francieli Zanon Boito¹ , Ramon Nou², Laércio Lima Pilla³, Jean Luca Bez⁴, Jean-François Méhaut¹, T

BEST FULL PAPER AWARD EDM 2019 - EDUCATIONAL DATA MINING
05 juillet 2019
DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Ski

BEST PAPER AWARD - CODIT2019 - STOCHASTIC DUAL DYNAMIC INTEGER PROGRAMMING FOR A MULTI-ECHELON LOT-SIZING PROBLEM WITH REMANUFACTURING AND LOST SALES
14 mai 2019
Franco Quezada, Céline Gicquel and Safia Kedad-Sidhoum

BEST PAPER AWARD ICONS 2019: RESONANCE THINKING AND INDUCTIVE MACHINE LEARNING
06 mai 2019
Yves Kodratoff & Marta Franova