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20222026
most citedFedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning

2 citations · 2 across the 3 of their papers we have counts for

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cs.LG2022★ 2 cited

FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning

Nang Hung Nguyen, Phi Le Nguyen, Duc Long Nguyen +4

The uneven distribution of local data across different edge devices (clients) results in slow model training and accuracy reduction in federated learning. Naive federated learning…