3 papers
cs.LG2025
Random Client Selection on Contrastive Federated Learning for Tabular Data
Achmad Ginanjar, Xue Li, Priyanka Singh +1
Vertical Federated Learning (VFL) has revolutionised collaborative machine learning by enabling privacy-preserving model training across multiple parties. However, it remains vulne…
cs.CL2025
VaeDiff-DocRE: End-to-end Data Augmentation Framework for Document-level Relation Extraction
Khai Phan Tran, Wen Hua, Xue Li
Document-level Relation Extraction (DocRE) aims to identify relationships between entity pairs within a document. However, most existing methods assume a uniform label distribution…
cs.LG2024
Contrastive Federated Learning with Tabular Data Silos
Achmad Ginanjar, Xue Li, Wen Hua +1
Learning from vertical partitioned data silos is challenging due to the segmented nature of data, sample misalignment, and strict privacy concerns. Federated learning has been prop…