5 citations · 13 across the 9 of their papers we have counts for
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cs.LG2023★ 1 cited
Preconditioned Federated Learning
Zeyi Tao, Jindi Wu, Qun Li
Federated Learning (FL) is a distributed machine learning approach that enables model training in communication efficient and privacy-preserving manner. The standard optimization m…
quant-ph2023
MORE: Measurement and Correlation Based Variational Quantum Circuit for Multi-classification
Jindi Wu, Tianjie Hu, Qun Li
Quantum computing has shown considerable promise for compute-intensive tasks in recent years. For instance, classification tasks based on quantum neural networks (QNN) have garnere…
cs.LG2023★ 3 cited
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Qun Li, Chandra Thapa, Lawrence Ong +5
Federated learning (FL) is the most popular distributed machine learning technique. FL allows machine-learning models to be trained without acquiring raw data to a single point for…