74 citations · 187 across the 30 of their papers we have counts for
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cs.LG2025★ 3 cited
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare
Anum Nawaz, Muhammad Irfan, Xianjia Yu +4
Federated learning (FL) is increasingly recognised for addressing security and privacy concerns in traditional cloud-centric machine learning (ML), particularly within personalised…
cs.LG2024
Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality
Haizhou Zhang, Xianjia Yu, Tomi Westerlund
Federated learning (FL) has become one of the key methods for privacy-preserving collaborative learning, as it enables the transfer of models without requiring local data exchange.…