DistributedML
@DistributedML
DistributedML workshop, welcoming works in the intersection of ML, Distributed Systems and Networks!
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Very excited to announce our TTODLer-FM workshop at ICML'25! Looking forward to some incredible contributions at the intersection of on-device ml and foundation models.
Happy to announce our @icmlconf 2025 workshop: "The Next Wave of On-Device Learning for Foundation Models" Details👇 1/3
You can now find the recordings of this year's DistributedML on our website (distributedml.org/program/) and youtube channel (youtube.com/@distributedml). Thanks everyone for participating! See you in the next one.
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.
We are now starting the third keynote of the day, with @aurelien_bellet presenting his work on Privacy Guarantees for Decentralised Federated Learning
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!
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.
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!
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 youtube.com/@distributedml/. See you in the next one!
How can we make ML training and deployment at scale more efficient? @anaklimovic' research sheds light on the data ingestion bottlenecks in ML processes.
How do you scale training as models gets increasingly large and accurate? Great insights on programmable networks for performant distributed deep learning by @elfmar in the first session of @DistributedML.
Ciao Roma! Glad to be attending #CoNEXT2022. Join us on Friday at our @DistributedML workshop for some great talks and insights on the topic.
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