Privacy-Preserving Federated Learning using Flower Framework
Mohammad Fahim Naseri, Javier Fernández-Marqués, Yan Gao, Heng Pan · 2024
AI projects often face the challenge of limited access to meaningful amounts of training data. In traditional approaches, collecting data in a central location can be problematic, especially in industry settings with sensitive and distributed data. However, there is a solution -"moving the computation to the data" through Federated Learning.