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As large-scale theft of data from corporate servers is becoming increasingly common, it becomes interesting to examine alternatives to the paradigm of centralizing sensitive data into large databases. Instead, one could use cryptography and distributed com ...
Distributed Constraint Satisfaction (DisCSP) and Distributed Constraint Optimization (DCOP) are formal frameworks that can be used to model a variety of problems in which multiple decision-makers cooperate towards a common goal: from computing an equilibri ...
In many real-life optimization problems involving multiple agents, the rewards are not necessarily known exactly in advance, but rather depend on sources of exogenous uncertainty. For instance, delivery companies might have to coordinate to choose who shou ...
Distributed Constraint Optimization (DCOP) is a field that has recently been getting more and more attention from academia and industry. However, very few open-source, off-the-shelf tools are currently available to solve DCOPs; examples are FRODO, DisChoco ...
Several logistics service providers serve a certain number of customers, geographically spread over an area of operations. They would like to coordinate their operations so as to minimize overall cost. At the same time, they would like to keep information ...
Constraint satisfaction has been a very successful paradigm for solving problems such as resource allocation and planning. Many of these problems pose themselves in a context involving multiple agents, and protecting privacy of information among them is of ...
Distributed Constraint Optimization (DCOP) is a field that has recently been getting more and more attention from academia and industry. However, very few open-source, off-the-shelf tools are currently available to solve DCOPs; examples are FRODO, DisChoco ...
Many applications that require distributed optimization also include uncertainty about the problem and the optimization criteria themselves. However, current approaches to distributed optimization assume that the problem is entirely known before optimizati ...
The Vehicle Routing Problem (VRP) has been extensively studied over the last twenty years, because it is an abstraction of many real-life logistics problems. In its multiple-depot variant (MDVRP), the routes of vehicles located at various depots must be op ...
The object of the present invention is a method that allows a group of independent participants to coordinate decisions with respect to the allocation of interdependent resources, while maintaining certain privacy guarantees. The present invention proposes ...