Further reading
To learn more about the topics that were covered in this chapter, please take a look at the following references:
- Naeem A., Anees T., Naqvi RA., Loh WK. A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis. J Pers Med. 2022 Feb 13;12(2):275. doi: 10.3390/jpm12020275 PMID: 35207763; PMCID: PMC8880689.
- Ng, Dianwen, et al. Federated learning: a collaborative effort to achieve better medical imaging models for individual sites that have small labeled datasets. Quantitative Imaging in Medicine and Surgery 11.2 (2021): 852: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779924/
- Rieke, Nicola, et al. The future of digital health with federated learning. NPJ digital medicine 3.1 (2020): 1-7: https://www.nature.com/articles/s41746-020-00323-1.pdf
- Dang, Trung Kien, et al. Federated Learning for Electronic Health Records. ACM Transactions on Intelligent Systems and Technology (TIST) (2022): https://dl.acm...
