Distributed multi-agent Gaussian regression via Karhunen-Loève expansions

We consider the problem of distributedly estimating Gaussian random fields in multi-agent frameworks. Each sensor collects few measurements and aims to collaboratively reconstruct a common estimate based on all data. Agents are assumed to have limited computational and communication capabilities and to gather M noisy measurements in total on input locations… CONTINUE READING