The reason for using distributed constraint satisfaction algorithms is often to allow agents to find a solution while revealing as little as possible about their variables and constraints. So far, most algorithms for DisCSP do not guarantee privacy of this information. This paper describes some simple techniques that can be used with DisCSP algorithms such as DPOP, and provide sensible privacy guarantees based on the distributed solving process without sacrificing its efficiency
International audienceWe consider a resource allocation problem involving a large number of agents w...
Abstract—Increasingly more attention is paid to the privacy in online applications due to the widesp...
For agents deployed in real-world settings, such as businesses, universities and research laboratori...
Abstract. In Distributed Constraint Satisfaction Problems, agents often desire to find a solution whi...
AbstractThis paper develops a secure distributed constraint satisfaction algorithm. A Distributed Co...
Many real-life optimization problems involve multiple entities, or agents (individuals, companies......
Distributed constraint satisfaction problems (DisCSPs) are composed of agents connected by constrain...
Abstract—Distributed constraint solving are useful in tackling constrained problems when agents are ...
Multi-agent systems that work with people to accomplish tasks require access to infor-mation that th...
AbstractBecause of privacy concerns, agents may not want to reveal information that could be of use ...
A distributed constraint satisfaction problem (DisCSP) is de-ned by a set of agents, trying to nd as...
Bien que le domaine des systèmes multi-agents ait été largement étudié, les interactions entre agent...
Bien que le domaine des systèmes multi-agents ait été largement étudié, les interactions entre agent...
We consider a resource allocation problem involving a large number of agents with individual constra...
International audienceWe consider a resource allocation problem involving a large number of agents w...
International audienceWe consider a resource allocation problem involving a large number of agents w...
Abstract—Increasingly more attention is paid to the privacy in online applications due to the widesp...
For agents deployed in real-world settings, such as businesses, universities and research laboratori...
Abstract. In Distributed Constraint Satisfaction Problems, agents often desire to find a solution whi...
AbstractThis paper develops a secure distributed constraint satisfaction algorithm. A Distributed Co...
Many real-life optimization problems involve multiple entities, or agents (individuals, companies......
Distributed constraint satisfaction problems (DisCSPs) are composed of agents connected by constrain...
Abstract—Distributed constraint solving are useful in tackling constrained problems when agents are ...
Multi-agent systems that work with people to accomplish tasks require access to infor-mation that th...
AbstractBecause of privacy concerns, agents may not want to reveal information that could be of use ...
A distributed constraint satisfaction problem (DisCSP) is de-ned by a set of agents, trying to nd as...
Bien que le domaine des systèmes multi-agents ait été largement étudié, les interactions entre agent...
Bien que le domaine des systèmes multi-agents ait été largement étudié, les interactions entre agent...
We consider a resource allocation problem involving a large number of agents with individual constra...
International audienceWe consider a resource allocation problem involving a large number of agents w...
International audienceWe consider a resource allocation problem involving a large number of agents w...
Abstract—Increasingly more attention is paid to the privacy in online applications due to the widesp...
For agents deployed in real-world settings, such as businesses, universities and research laboratori...