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conference paper
Social Learning With Partial Information Sharing
January 1, 2020
2020 Ieee International Conference On Acoustics, Speech, And Signal Processing
This work studies the learning abilities of agents sharing partial beliefs over social networks. The agents observe data that could have risen from one of several hypotheses and interact locally to decide whether the observations they are receiving have risen from a particular hypothesis of interest. To do so, we establish the conditions under which it is sufficient to share partial information about the agents' belief in relation to the hypothesis of interest. Some interesting convergence regimes arise.
Type
conference paper
Web of Science ID
WOS:000615970405160
Authors
Publication date
2020-01-01
Publisher
Published in
2020 Ieee International Conference On Acoustics, Speech, And Signal Processing
ISBN of the book
978-1-5090-6631-5
Publisher place
New York
Series title/Series vol.
International Conference on Acoustics Speech and Signal Processing ICASSP
Start page
5540
End page
5544
Peer reviewed
REVIEWED
EPFL units
Event name | Event place | Event date |
Barcelona, SPAIN | May 04-08, 2020 | |
Available on Infoscience
March 26, 2021
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