30557@AAAI

#1 Adapted Weighted Aggregation in Federated Learning [PDF⁵] [Copy] [Kimi¹] [REL]

Author: Yitong Tang

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.

Subject: AAAI.2024 - Undergraduate Consortium

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