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Télécharger le livre : Federated and Transfer Learning
Roozbeh Razavi-Far , Matthew E. Taylor , Boyu Wang , Qiang Yang
Federated and Transfer Learning
This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its...
Editeur : Springer
Parution : 2022-09-30
Collection : Adaptation, Learning, and Optimization
Format(s) : PDF, ePub
147,69 €
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Télécharger le livre : Generative Adversarial Learning: Architectures and Applications
Vasile Palade , Roozbeh Razavi-Far , Ariel Ruiz-Garcia , Juergen Schmidhuber
Generative Adversarial Learning: Architectures and Applications
This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the...
Editeur : Springer
Parution : 2022-02-07

Format(s) : ePub
179,34 €
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