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20222025
most citedFedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning

2 citations · 5 across the 5 of their papers we have counts for

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2 papers · 1 filter

cs.CV2023

FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection

Thuy Dung Nguyen, Anh Duy Nguyen, Kok-Seng Wong +4

Federated learning (FL) enables multiple clients to train a model without compromising sensitive data. The decentralized nature of FL makes it susceptible to adversarial attacks, e…

cs.CV2022

Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance

Anh Duy Nguyen, Thuy Dung Nguyen, Huy Hieu Pham +2

Identifying pills given their captured images under various conditions and backgrounds has been becoming more and more essential. Several efforts have been devoted to utilizing the…