Reduction in Data Imbalance for Client-Side Training in Federated Learning for the Prediction of Stock Market Prices

Reduction in Data Imbalance for Client-Side Training in Federated Learning for the Prediction of Stock Market Prices

The approach of federated learning (FL) addresses significant challenges, including access rights, privacy, security, and the availability of diverse data. However, edge devices produce and collect data in a non-independent and identically distributed (non-IID) manner. Therefore, it is possible that...

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Bibliografske podrobnosti
Main Authors: Momina Shaheen, Muhammad Shoaib Farooq, Tariq Umer
Format: Article
Jezik:English
Izdano: MDPI AG 2023-12-01
Serija:Journal of Sensor and Actuator Networks
Teme:
data imbalance
edge networks
federated learning
stock market prediction
Online dostop:https://www.mdpi.com/2224-2708/13/1/1

Internet

https://www.mdpi.com/2224-2708/13/1/1

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