Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
We study the problem of maximizing the broadcast rate in peer-to-peer (P2P) systems under node degree bounds, i.e., the number of neighbors a node can simultaneously connect to is ...
Abstract. This paper deals with the design of an API for building distributed parallel applications in C++ which embody strict multithreaded computations. The API is enhanced with ...
raction levels of communication models to allow designers to trade off between performance and accuracy. Contrary to [2][3], we present an optimization method which preserves the a...
Replication is a key strategy for improving locality, fault tolerance and availability in distributed systems. The paper focuses on distributed file systems and presents a system ...