31 citations · 68 across the 5 of their papers we have counts for
4 papers · 1 filter
Distributed Hypothesis Testing with Social Learning and Symmetric Fusion
Joong Bum Rhim, Vivek K Goyal
We study the utility of social learning in a distributed detection model with agents sharing the same goal: a collective decision that optimizes an agreed upon criterion. We show t…
Social Teaching: Being Informative vs. Being Right in Sequential Decision Making
Joong Bum Rhim, Vivek K Goyal
We show that it can be suboptimal for Bayesian decision-making agents employing social learning to use correct prior probabilities as their initial beliefs. We consider sequential…
Keep Ballots Secret: On the Futility of Social Learning in Decision Making by Voting
Joong Bum Rhim, Vivek K. Goyal
We show that social learning is not useful in a model of team binary decision making by voting, where each vote carries equal weight. Specifically, we consider Bayesian binary hypo…
Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing
Joong Bum Rhim, Lav R. Varshney, Vivek K Goyal
This paper studies the quantization of prior probabilities, drawn from an ensemble, for distributed detection and data fusion. Design and performance equivalences between a team of…