The Current State and Challenges of Fairness in Federated Learning

The proliferation of artificial intelligence systems and their reliance on massive datasets have led to a renewed demand on privacy of data. Both the large data processing need and its associated data privacy demand have led to the development of techniques such as Federated Learning, a distributed...

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Bibliographic Details
Main Authors: Sean Vucinich, Qiang Zhu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10183984/