Publication
SPIE Defense + Security 2018
Conference paper

An algorithm for model fusion for distributed learning

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Abstract

In this paper, we discuss the problem of distributed learning for coalition operations. We consider a scenario where different coalition forces are running learning systems independently but want to merge the insights obtained from all the learning systems to share knowledge and use a single model combining all of their individual models. We consider the challenges involved in such fusion of models, and propose an algorithm that can find the right fused model in an efficient manner.

Date

16 Apr 2018

Publication

SPIE Defense + Security 2018

Authors

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