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Re: [Coin] For information: talk on "Function Computation in Networks"

<hemant@mnkcg.com> Tue, 18 June 2019 15:50 UTC

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From: hemant@mnkcg.com
To: 'Marie-Jose Montpetit' <marie@mjmontpetit.com>, "'Ciavaglia, Laurent (Nokia - FR/Paris-Saclay)'" <laurent.ciavaglia@nokia.com>
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Date: Tue, 18 Jun 2019 11:50:45 -0400
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Subject: Re: [Coin] For information: talk on "Function Computation in Networks"
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Marie-Jose,

 

Are you flying to Paris?  This is where the talk is at.

 

Hemant

 

From: Coin <coin-bounces@irtf.org> On Behalf Of Marie-Jose Montpetit
Sent: Tuesday, June 18, 2019 11:47 AM
To: Ciavaglia, Laurent (Nokia - FR/Paris-Saclay)
<laurent.ciavaglia@nokia.com>
Cc: coin@irtf.org
Subject: Re: [Coin] For information: talk on "Function Computation in
Networks"

 

I can go too :)

 

mjm

Marie-Jose Montpetit, Ph.D.

mariejo@mit.edu <mailto:mariejo@mit.edu> 

marie@mjmontpetit.com <mailto:marie@mjmontpetit.com> 

+1-781-526-2661

@SocialTVMIT

 

 





On Jun 18, 2019, at 11:26 AM, Ciavaglia, Laurent (Nokia - FR/Paris-Saclay)
<laurent.ciavaglia@nokia.com <mailto:laurent.ciavaglia@nokia.com> > wrote:

 

Hello,

This talk might be of interest to the PRG.

"Function Computation in Networks" by Derya Malak (MIT).
See  <https://www.lincs.fr/events/talk-by-derya-malak/>
https://www.lincs.fr/events/talk-by-derya-malak/
Wednesday 19 June 2019, 2pm CEST

Abstract: This talk describes a new perspective on cloud/fog computing, by
distributing computation in order to handle the large volume of data with
growing computational demand. Our goal is to devise coding techniques for
functional compression in networks, by employing the concepts of graph
entropy, common information, and exploiting function subjectivity and role
of a helper in encoding of functions. These techniques suit different
applications such as caching, classification, federated learning,
quantization, and compressed sensing. Our unified insights suggest to
distribute computation by making use of underlying redundancy both in data
and functions, in order to recover a sparse representation, or labeling.

Note that the presentations are generally recorded and the videos are
available few days after the seminars at the same links.

Best regards, Laurent.

 

 

 

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