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Автор: Muhammad Habib ur Rehman, Mohamed Medhat Gaber
Издательство: Springer
Год: 2021
Страниц: 207
Язык: английский
Формат: pdf (true), epub
Размер: 22.9 MB
Google introduced the term Federated Learning (FL) to enable the Machine Learning models to be initially trained at the customers’ or citizens’ devices and systems and later the model updates are aggregated at the centralized cloud servers. Considering this notion of FL, a large plethora of research activities has been performed by researchers and practitioners in academia and industry. Hence, numerous research publications were produced to solve the active research issues in terms of privacy, security, data and model synchronization, model development and deployment, personalization, incentivization, and heterogeneity across the FL systems.