Really timely workshop. Looking forward to those keynotes 👀 Papers due Sept 11....

Please consider submitting your work to our Distributed Machine Learning Workshop, co-located with ACM #CoNEXT 2020. Submission due on September 11th 2020. Both technical and position papers up to 6-page long are solicited.

Registrations for ACM MobiCom 2020 are now open. Use the same platform to register for the 4th International Workshop on Embedded and Mobile Deep Learning (EMDL '20), coming up with an exciting programme! emdl20.github.io/program

Complementary cat photos for more attention to CFP of ACM Distributed ML workshop, co-located with #CoNEXT 2020 🔉🔉🔉 Submission due on September 11th 📜📚✏️Both technical and position papers up to 6-page long are solicited! More info 🔗: distributedml.org

Deadline extended to September 18th!

There’s still time to register for CoNEXT’20 & DistributedML workshop. Grants are available for students/post-docs/junior faculty to attend the event!

The high demand for visual Content Delivery Systems (CDS) has led to a new class of CDS that exploit, what we call, neural enhancement (NE). At #DistributedML 2020, watch my colleague Royson Lee, presenting our survey of existing NE-equipped CDS, in addition to future directions

Great opportunity to join our team at Samsung AI Center in Cambridge, UK. Feel free to reach out for a chat or share the post with anyone who might be interested! #WeAreHiring #SamsungResearch #MLEngineer #AI #AIResearch

🌟 Join our team at Samsung AI Center - Cambridge! 🌟 Passionate about GenAI? We're hiring engineers/researchers to develop cutting-edge AI models and enhance user experiences on millions of Samsung devices globally. Apply now! linkedin.com/feed/update/ur… 🚀 #AI #GENAI #TechJob

We are hiring! ✨

🚀🚀🚀 We've open-sourced our recent work, a cost-effective approach to accelerate LLM! 🔑 Key Features: - Memory Efficiency: Achieve up to 2.5x speedup with a minimal runtime memory overhead of just 0.0004%, making it ideal for edge and mobile environments. - Training

Our paper, "TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge", has been accepted at ICML 2024! 😆 😁 Preprint: arxiv.org/abs/2307.09988 Code: github.com/theyoungkwon/T… (Soon to be open-sourced)

Happy to announce that our paper, "The Future of Consumer Edge-AI Computing" has been accepted to IEEE Pervasive Computing. Extended Preprint: arxiv.org/abs/2210.10514 Talk @ FLOW Seminar: youtube.com/watch?v=WyKxGK… #machinelearning, #edgeai, #mobile, #research, #distributedml

Find me and Young D. Kwon presenting our work TinyTrain at #ICML2024 Poster Session II at 1:30-3pm Vienna time Link to paper in ICML proceedings: proceedings.mlr.press/v235/kwon24c.h… Great work led by Young D. Kwon 🚀and kudos to our co-authors Stylianos I. Venieris Jagmohan Chauhan nic lane Cecilia Mascolo🇪🇺🇬🇧

TinyTrain allows *learning* not just inference to be performed on MCUs in a compute-, memory- and data-efficient manner! Young and other co-authors are at #ICML2024, reach out to chat. TinyTrain work by Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, nic lane and Cecilia Mascolo🇪🇺🇬🇧