Can I read Functional Epsilon Entropy on EtoBox?

Functional Epsilon Entropy by Basu, Sourya; Seo, Daewon; Varshney, Lav R. is a scholarly article available to read on EtoBox.

What is Functional Epsilon Entropy about?

We consider the problem of coding for computing with maximal distortion, where the sender communicates with a receiver, which has its own private data and wants to compute a function of their combined data with some fidelity constraint known to both agents. We show that the minimum rate for this problem is equal to the conditional entropy of a hypergraph and design practical codes for the problem. Further, the minimum rate of this problem may be a discontinuous function of the fidelity constraint. We also consider the case when the exact function is not known to the sender, but some approximate function or a class to which the function belongs is known and provide efficient achievable schemes.

Author

Basu, Sourya; Seo, Daewon; Varshney, Lav R.

Published

2019

Language

EN