Add to ORKGAbstract. In Distributed Constraint Satisfaction Problems, agents often desire 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 obfuscation 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
Actually, a lot of attention focusing on the problem of computing privacy-preserving OLAP cubes effe...
Recent growth in the size and scope of databases has resulted in more research into making productiv...
Bien que le domaine des systèmes multi-agents ait été largement étudié, les interactions entre agent...
The reason for using distributed constraint satisfaction algorithms is often to allow agents to find...
Distributed constraint satisfaction problems (DisCSPs) are composed of agents connected by constrain...
AbstractThis paper develops a secure distributed constraint satisfaction algorithm. A Distributed Co...
Many real-life optimization problems involve multiple entities, or agents (individuals, companies......
Abstract—Distributed constraint solving are useful in tackling constrained problems when agents are ...
A distributed constraint satisfaction problem (DisCSP) is de-ned by a set of agents, trying to nd as...
Multi-agent systems that work with people to accomplish tasks require access to infor-mation that th...
Part 7: Privacy-Preserving Data Applications IIInternational audienceIn today’s networked world, res...
AbstractBecause of privacy concerns, agents may not want to reveal information that could be of use ...
As the modern world becomes increasingly digitized and interconnected, distributed systems have prov...
Privacy Preserving Distributed OLAP identifies a collection of models, methodologies and algorithms ...
Abstract—Increasingly more attention is paid to the privacy in online applications due to the widesp...
Actually, a lot of attention focusing on the problem of computing privacy-preserving OLAP cubes effe...
Recent growth in the size and scope of databases has resulted in more research into making productiv...
Bien que le domaine des systèmes multi-agents ait été largement étudié, les interactions entre agent...
The reason for using distributed constraint satisfaction algorithms is often to allow agents to find...
Distributed constraint satisfaction problems (DisCSPs) are composed of agents connected by constrain...
AbstractThis paper develops a secure distributed constraint satisfaction algorithm. A Distributed Co...
Many real-life optimization problems involve multiple entities, or agents (individuals, companies......
Abstract—Distributed constraint solving are useful in tackling constrained problems when agents are ...
A distributed constraint satisfaction problem (DisCSP) is de-ned by a set of agents, trying to nd as...
Multi-agent systems that work with people to accomplish tasks require access to infor-mation that th...
Part 7: Privacy-Preserving Data Applications IIInternational audienceIn today’s networked world, res...
AbstractBecause of privacy concerns, agents may not want to reveal information that could be of use ...
As the modern world becomes increasingly digitized and interconnected, distributed systems have prov...
Privacy Preserving Distributed OLAP identifies a collection of models, methodologies and algorithms ...
Abstract—Increasingly more attention is paid to the privacy in online applications due to the widesp...
Actually, a lot of attention focusing on the problem of computing privacy-preserving OLAP cubes effe...
Recent growth in the size and scope of databases has resulted in more research into making productiv...
Bien que le domaine des systèmes multi-agents ait été largement étudié, les interactions entre agent...