Comparison of 7 Generic Federated Learning Frameworks on Kidney Graft Survival with Implementation
This comparative experimental study evaluates seven federated learning frameworks—including Flower, FedML, and PySyft—using the OPTN kidney transplant dataset, comparing performance, scalability, communication efficiency, and privacy.
Survey Paper on Federated Learning in Healthcare
This comprehensive survey reviews federated learning architectures, privacy-preserving techniques, healthcare applications, deployment challenges, and future research directions.
Modeling Kidney Transplant Compatibility using a Federated Multi-Layer Perceptron Framework
This study develops a federated multilayer perceptron framework for kidney transplant compatibility prediction.