Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
We address the problem of providing privacypreserving search over distributed accesscontrolled content. Indexed documents can be easily reconstructed from conventional (inverted) ...
Mayank Bawa, Rakesh Agrawal, Roberto J. Bayardo Jr...
We present SenseWeb, an open and scalable infrastructure for sharing and geocentric exploration of sensor data streams. SenseWeb allows sensor owners to share data streams across ...
Peer-to-peer (p2p) technology can potentially be used to build highly reliable applications without a single point of failure. However, most of the existing applications, such as ...
Alan Mislove, Ansley Post, Andreas Haeberlen, Pete...
—In the past few years, peer-to-peer (P2P) networks have become a promising paradigm for building a wide variety of distributed systems and applications. The most popular P2P app...