[HTML][HTML] Communication-efficient vertical federated learning
Federated learning (FL) is a privacy-preserving distributed learning approach that allows
multiple parties to jointly build machine learning models without disclosing sensitive data …
multiple parties to jointly build machine learning models without disclosing sensitive data …
Communication-Efficient Vertical Federated Learning
A Khan, M ten Thij, A Wilbik - Algorithms, 2022 - search.proquest.com
Federated learning (FL) is a privacy-preserving distributed learning approach that allows
multiple parties to jointly build machine learning models without disclosing sensitive data …
multiple parties to jointly build machine learning models without disclosing sensitive data …
Communication-Efficient Vertical Federated Learning.
A Khan, M ten Thij, A Wilbik - Algorithms, 2022 - search.ebscohost.com
Federated learning (FL) is a privacy-preserving distributed learning approach that allows
multiple parties to jointly build machine learning models without disclosing sensitive data …
multiple parties to jointly build machine learning models without disclosing sensitive data …
[PDF][PDF] Communication-Efficient Vertical Federated Learning
A Khan, M ten Thij, A Wilbik - bnaic2022.uantwerpen.be
Federated learning (FL) is a promising approach that allows a network of autonomous
organizations facing the same machine learning task to collaboratively train a global model …
organizations facing the same machine learning task to collaboratively train a global model …
Communication-Efficient Vertical Federated Learning
A Khan, M ten Thij, A Wilbik - Algorithms, 2022 - cris.maastrichtuniversity.nl
Federated learning (FL) is a privacy-preserving distributed learning approach that allows
multiple parties to jointly build machine learning models without disclosing sensitive data …
multiple parties to jointly build machine learning models without disclosing sensitive data …
[PDF][PDF] Communication-Efficient Vertical Federated Learning
A Khan, M ten Thij, A Wilbik - Algorithms, 2022 - researchgate.net
Federated learning (FL) is a privacy-preserving distributed learning approach that allows
multiple parties to jointly build machine learning models without disclosing sensitive data …
multiple parties to jointly build machine learning models without disclosing sensitive data …
Communication-Efficient Vertical Federated Learning
A Khan - researchgate.net
Communication-Efficient Vertical Federated Learning Page 1 Communication-Efficient Vertical
Federated Learning - Afsana Khan, Marijn ten Thij, Anna Wilbik Page 2 Federated Learning …
Federated Learning - Afsana Khan, Marijn ten Thij, Anna Wilbik Page 2 Federated Learning …