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Friendly federated learning 🌼

Practical AI

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Addressing Bias in Federated Learning

This chapter examines the challenges of bias in federated learning due to skewed data from client devices. It highlights the significance of mitigating this bias through various strategies, such as weighted averaging, to enhance model accuracy and representation.

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