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1. 1. Federated Learning for Time Series Forecasting Using Hybrid Model

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Yuntao Li; [2019]
   Keywords : Federated Learning; Time Series Forecasting; Recurrent Neural Networks; Long Short-Term Memory; Hybrid Model; Federerad Inlärning; Tidsserieprognostisering; Återkommande Neurala Nätverk; LSTMs; Hybrida Modeller;

   Abstract : Time Series data has become ubiquitous thanks to affordable edge devices and sensors. Much of this data is valuable for decision making. In order to use these data for the forecasting task, the conventional centralized approach has shown deficiencies regarding large data communication and data privacy issues. READ MORE