Mario Almeida

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The panel on the challenges and opportunities of the future of ML compute has started with @ce__zhang (@togethercompute) , @tusharkrishna29 (@GeorgiaTech_ECE ), Ada Gavrilovska (@gatech_scs), @DAlistarh (@MIT_CSAIL and @ISTAustria), @stevelaskaridis and @alsched.

Second keynote speaker of the day is @tusharkrishna29, talking about hardware-software co-design in distributed systems.

Great start of the day with @ce__zhang's insightful keynote on the current tensions of training and deploying LLMs.

Announcing our speaker lineup for this year's @DistributedML, including @ce__zhang (@togethercompute) , @tusharkrishna29 (@GeorgiaTech_ECE ), @aurelien_bellet (@inria), Ada Gavrilovska (@gatech_scs) and @DAlistarh (@MIT_CSAIL and @ISTAustria). Looking forward to a great program!

We are very excited to release the list of accepted papers for this year's @DistributedML workshop, along with a tentative schedule here: distributedml.org/program/ Looking forward to seeing you in Paris, @ACMSIGCOMM #CoNEXT23.

Reminder: Almost one week left until the submission deadline of distributedml.org (Sep 15th). We are looking forward to receiving some great papers this year! In the meantime, we have been organising an exciting program for this year's workshop. Stay tuned for more!

Pencils down in 11 days. Submission deadline for distributedml.org has now been extended for a week. New deadline is set for Sep 22nd AoE.

Co-organised this year with @alsched, @NathalieBaraca1, @dvytin along with @stevelaskaridis, @4knahs, @tforcworc.

distributedml.org is to be held along #CONEXT2023 this year in Paris. We welcome novel, previously unpublished, work in the area of Distributed #MachineLearning, with special focus on training and deploying large foundational models. Submission deadline on September 15!

News is that @DistributedML is going to #Paris this year with #CoNEXT23! Co-organised with @alsched, @NathalieBaraca1, @dvytin and @4knahs, @tforcworc. More information to follow soon ...

We had a great time hosting the 3rd iteration of @DistributedML. In case you missed it, we are delighted to release the video recordings of our workshop that you can find on distributedml.org/program and on YouTube @distributedml/" target="_blank" rel="nofollow noopener">youtube.com/@distributedml/. See you in the next one!

After two virtual versions, looking forward to this year's in-person @DistributedML in Rome on Dec 9th. Join us for some great research insights and fruitful conversations between academia and industry.

@DistributedML @ACMSIGCOMM Finally organised in person! See you there!

Looking forward to seeing you in Rome, on Dec 9th. Program: distributedml.org/program/ @ACMSIGCOMM #CoNEXT2022 Registration: conferences2.sigcomm.org/co-next/2022/#…

The list of accepted papers of this year's @DistributedML is out, along with the speakers and provisional program. We are really excited to welcome @anaklimovic (ETHz), @elfmar (KAUST), Dimitrios Dimitriadis (MSR) and Christos Louizos (Qualcomm AI). Registrations are now open.

The paper submission deadline for the distributedml.org workshop has been extended to 23rd of September! We welcome works in the intersection of ML, networks and distributed systems. @ACMSIGCOMM @stevelaskaridis @4knahs @tforcworc @angcharlesli #research #machineleaning

DistributedML'22 is around the corner: Sep 16th. It is co-located with @ACMSIGCOMM #CoNEXT and this year it is happening hybrid in Rome on Dec 9th. Accepted papers will be included in the conference proceedings. Looking forward to your submissions. distributedml.org

Very excited to co-chair the 3rd @DistributedML workshop co-located with CoNEXT 2022. We welcome works at the intersection of #DistributedSystems, #MachineLearning and #Networks submission date is 09/16/2022. Participation is highly encouraged! distributedml.org

If you haven't heard the news, DistributedML'22 is going to Rome with @ACMSIGCOMM #conext2022. We look forward to your submissions and seeing you hopefully in person this year. Submissions deadline: 16.09 More details here: distributedML.org #distributedml #research