Machine learning

[June 27th 2020] ContinualAI Meetup: "Continual Learning: in the Cloud, at the Edge or Both?" Description: 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! As always we started with a series of spotlight 15 minutes presentations from 4 Continual Learning experts and later we had a fun, 30 minutes open debate on the topic. You can find the slides and more references in our forum: https://continualai.discourse.group/t/continualai-meetup-continual-learning-in-the-cloud-at-the-edge-or-both/125 The speakers for this meetup were: • 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" • Fernando E. Casado (Universidade de Santiago de Compostela): "Collaborative and Continual Learning for Classification Tasks in a Society of Devices" • Matthias De Lange (KU Leuven): "Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem" -------------------

Gratuit15 leçons10 h 30 minAvancé

chaîne othmane marfoq

juin 2020

Vérifié il y a 4 jours

Ce que vous allez apprendre

  • ContinualAI Meetup] Continual Learning: in the Cloud, at the Edge or Both?
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Tiré des leçons du cours, dans les mots de l'auteur.

Gratuit

Ce cours est gratuit et publié sur YouTube. La chaîne en reste l'auteur, nous ne faisons que le classer et vérifier que les vidéos s'ouvrent.

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Sujets liés

Ce cours comprend

  • 10 h 30 min de vidéo
  • 15 leçons
  • Niveau : Avancé
  • Langue : English
  • On retient où vous en étiez
  • Entièrement gratuit, sans carte

Leçons

2 sections · 15 leçons · 10 h 30 min durée totale

Ce qu'il vous faut

  • Expérience attendue : le cours est de niveau avancé.

Description

[June 27th 2020] ContinualAI Meetup: "Continual Learning: in the Cloud, at the Edge or Both?" Description: 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! As always we started with a series of spotlight 15 minutes presentations from 4 Continual Learning experts and later we had a fun, 30 minutes open debate on the topic. You can find the slides and more references in our forum: https://continualai.discourse.group/t/continualai-meetup-continual-learning-in-the-cloud-at-the-edge-or-both/125 The speakers for this meetup were: • 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" • Fernando E. Casado (Universidade de Santiago de Compostela): "Collaborative and Continual Learning for Classification Tasks in a Society of Devices" • Matthias De Lange (KU Leuven): "Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem" -------------------

À qui s'adresse ce cours

  • Celles et ceux qui travaillent déjà avec Machine learning.

Ces deux points sont notre lecture du niveau. La description est celle de l'auteur.

Machine learning, chaîne othmane marfoq