MolCFL: A personalized and privacy-preserving drug discovery framework based on generative clustered federated learning

Author:

Guo YanORCID,Gao Yongqiang,Song Jiawei

Publisher

Elsevier BV

Reference37 articles.

1. Self-supervised graph transformer on large-scale molecular data;Rong;Adv. Neural Inf. Process. Syst.,2020

2. Drug discovery and development in the era of artificial intelligence: From machine learning to large language models;Guan;Artif. Intell. Chem.,2024

3. The ethical issues of the application of artificial intelligence in healthcare: a systematic scoping review;Karimian;AI Ethics,2022

4. FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery;Chen;Bioinformatics,2020

5. Fl-disco: Federated generative adversarial network for graph-based molecule drug discovery: Special session paper;Manu,2021

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