Published Sep 28, 2018
Federated ML for Edge Applications with Justin Norman - TWiML Talk #185
Justin Norman from Cloudera Fast Forward Labs delves into federated and multitask learning, highlighting their transformative potential in enhancing AI's global impact, especially in edge computing environments, and addressing the challenges of deploying machine learning models with a focus on privacy, ethics, and AIops.
Topics covered
Popular Clips
Episode Highlights
Related Episodes
Applied Machine Learning for Publishers with Naveed Ahmad - TWiML Talk #182
Answers 383 questions
Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202
Answers 383 questions
Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200
Answers 383 questions
Deploying Edge and Embedded AI Systems with Heather Gorr - 655
Answers 383 questions
Live from TWIMLcon! Operationalizing ML at Scale with Hussein Mehanna - #306
Answers 383 questions
Supporting TensorFlow at Airbnb with Alfredo Luque - TWiML Talk #244
Answers 383 questions
Machine Learning Platforms at Uber with Mike Del Balso - #115
Answers 383 questions
The Fastai v1 Deep Learning Framework with Jeremy Howard - TWiML Talk #186
Answers 383 questions
Edge AI for Smart Manufacturing with Trista Chen - TWiML Talk #253
Answers 383 questions
Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
Answers 383 questions
Live from TWIMLcon! Culture & Organization for Effective ML at Scale (Panel) - #308
Answers 383 questions
