Federated Learning of User Verification Models Without Sharing Embeddings
19. července 2021
Řečníci
Hossein Hosseini
Speaker · 0 followers
Hyunsin Park
Speaker · 0 followers
Sungrack Yun
Speaker · 0 followers
Christos Louizos
Speaker · 0 followers
Joseph Soriaga
Speaker · 0 followers
Max Welling
Speaker · 31 followers
O organizátorovi (ICML 2021)
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
Baví vás formát? Nechte SlidesLive zachytit svou akci!
Profesionální natáčení a streamování po celém světě.
Sdílení
Doporučená videa
Prezentace na podobné téma, kategorii nebo přednášejícího
Unsupervised Learning of Visual 3D Keypoints for Control
Watch later
Boyuan Chen, …
Defending against Model Stealing via Verifying Embedded External Features
Watch later
Linghui Zhu, …
A Universal Law of Robustness via Isoperimetry
Watch later
Mark Sellke, …
Data Annotation at Scale: a Core Expertise of Modern ML
Watch later
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
Watch later
Luke Marris, …