Adapted Weighted Aggregation in Federated Learning
计算机科学
联合学习
人工智能
作者
Yanggang Tang
出处
期刊:Proceedings of the ... AAAI Conference on Artificial Intelligence [Association for the Advancement of Artificial Intelligence (AAAI)] 日期:2024-03-24卷期号:38 (21): 23763-23765
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.