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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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Showing 2023 · cs.LGShow all

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cs.LG2023

CADIS: Handling Cluster-skewed Non-IID Data in Federated Learning with Clustered Aggregation and Knowledge DIStilled Regularization

Nang Hung Nguyen, Duc Long Nguyen, Trong Bang Nguyen +4

Federated learning enables edge devices to train a global model collaboratively without exposing their data. Despite achieving outstanding advantages in computing efficiency and pr…