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…
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…
cs.LG2021★ 5 cited
QuantumFed: A Federated Learning Framework for Collaborative Quantum Training
Qi Xia, Qun Li
With the fast development of quantum computing and deep learning, quantum neural networks have attracted great attention recently. By leveraging the power of quantum computing, dee…