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March 24, 2024Open Access

Adapted Weighted Aggregation in Federated Learning

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Abstract

This study introduces FedAW, a novel federated learning algorithm that uses a weighted aggregation mechanism sensitive to the quality of client datasets, leading to better model performance and faster convergence on diverse datasets, validated using Colored MNIST.

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Cite This Study

Yitong Tang (2024) studied this question.

synapsesocial.com/papers/68e72968b6db6435876a3889 https://doi.org/10.1609/aaai.v38i21.30557

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