Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
It has been theoretically shown that performing coding in networked systems, including Reed-Solomon codes, fountain codes, and random network coding, has a clear advantage with re...
Message passing using the Message Passing Interface (MPI) is at present the most widely adopted framework for programming parallel applications for distributed-memory and clustere...
We propose a new approach to ensure privacy in location based services, without requiring any support from a"trusted" entity. We observe that users of location based ser...
In this paper, we present a new simulation platform for complex, radio standard spanning mobile Ad Hoc networks. SimANet - Simulation Platform for Ambient Networks - allows the coe...