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

Marie-Jose Montpetit <marie@mjmontpetit.com> Tue, 18 June 2019 15:56 UTC

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From: Marie-Jose Montpetit <marie@mjmontpetit.com>
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Date: Tue, 18 Jun 2019 11:56:24 -0400
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Cc: "Ciavaglia, Laurent (Nokia - FR/Paris-Saclay)" <laurent.ciavaglia@nokia.com>, coin@irtf.org
To: hemant@mnkcg.com
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Subject: Re: [Coin] For information: talk on "Function Computation in Networks"
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I was thinking of a last minute trip… But Ok will most likely do the remote.



mjm
Marie-Jose Montpetit, Ph.D.
mariejo@mit.edu
marie@mjmontpetit.com
+1-781-526-2661
@SocialTVMIT



> On Jun 18, 2019, at 11:50 AM, <hemant@mnkcg.com> <hemant@mnkcg.com> wrote:
> 
> Marie-Jose,
>  
> Are you flying to Paris?  This is where the talk is at.
>  
> Hemant
>  
> From: Coin <coin-bounces@irtf.org <mailto: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 <mailto:laurent.ciavaglia@nokia.com>>
> Cc: coin@irtf.org <mailto: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.
>>  
>>  
>>  
>> -- 
>> Coin mailing list
>> Coin@irtf.org <mailto:Coin@irtf.org>
>> https://www.irtf.org/mailman/listinfo/coin <https://www.irtf.org/mailman/listinfo/coin>

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