Robust probabilistic inference in distributed systems
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
A message passing approach to multiagent gaussian inference for dynamic processes
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
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The problem of multiagent Gaussian inference in a dynamic environment, also known as distributed Kalman filtering, is formulated into the framework of message passing algorithms. Upon generalizing the derivation of the standard Kalman filter to the distributed case, we propose novel solutions that outperform current state of the art techniques.