[ContinualAI Meetup] Continual Learning: in the Cloud, at the Edge or Both?

[26th June 2020] We are finally ready for the next ContinualAI meetup this Friday 5pm CEST "Continual Learning: in the Cloud, at the Edge or Both?"

In this meeting we will mostly discuss where the continual learning process should take place (in the cloud or at the edge) and its relationship with distributed and federated learning !

The speakers for this meetup will be:

  • @Qi (Roger) She (Intel Labs): “Towards Edge-enhanced Robot 4.0: Continual Learning and Spatial-temporal Intelligence
  • Bing Liu (University of Illinois at Chicago): “Learning on the Job: Online Lifelong and Continual Learning
  • @fecasado (Universidade de Santiago de Compostela): “Collaborative and Continual Learning for Classification Tasks in a Society of Devices
  • @mattdl (KU Leuven): “Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem

:pushpin: EventBrite link : https://lnkd.in/d-xWZMQ
:pushpin: Google Meet Link : https://meet.google.com/gam-khhk-pzm
:pushpin: Youtube Recording: https://youtu.be/69uajJwFyzM

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Hi all, this was an amazing meetup with some interesting perspectives!
My slides about the DUA framework, using Continual Learning for model personalization can be found on: https://mattdl.github.io/extra/2020_DUA/Slides_DUA_ContinualAI.pdf

If you want to find out more, here is the paper:
https://openaccess.thecvf.com/content_CVPR_2020/html/De_Lange_Unsupervised_Model_Personalization_While_Preserving_Privacy_and_Scalability_An_Open_CVPR_2020_paper.html

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Hello there! It’s been a pleasure for me to participate in this meetup. You can find the slides of my presentation about glocal learning here: https://drive.google.com/file/d/1q79d0eMVNb6q8u4pVffQvHcRFp30M0ni/view?usp=sharing

If you want to go deeper into this framework, you can check out the following paper: https://arxiv.org/pdf/2006.07129.pdf

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These are the slides from Bing Liu’s talk: https://www.dropbox.com/s/q76exkjespq20bb/On-the-job-learning-BingLiu.pdf?dl=0