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cs.LG2025
LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments
Pengcheng Sun, Erwu Liu, Wei Ni +4
Federated Learning (FL) is a distributed machine learning paradigm based on protecting data privacy of devices, which however, can still be broken by gradient leakage attack via pa…
cs.LG2025
Cluster-Aware Multi-Round Update for Wireless Federated Learning in Heterogeneous Environments
Pengcheng Sun, Erwu Liu, Wei Ni +3
The aggregation efficiency and accuracy of wireless Federated Learning (FL) are significantly affected by resource constraints, especially in heterogeneous environments where devic…
cs.LG2024
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning
Rui Sun, Zhipeng Wang, Hengrui Zhang +5
One of the biggest challenges of building artificial intelligence (AI) model in the healthcare area is the data sharing. Since healthcare data is private, sensitive, and heterogene…