ChainLearn enables capacity-aware federated learning with heterogeneous models via blockchain-stored policies and off-chain training, showing competitive accuracy and low communication on medical datasets.
Yang et al., ``MedMNIST v2 -- A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification,'' Scientific Data, 2023
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ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning
ChainLearn enables capacity-aware federated learning with heterogeneous models via blockchain-stored policies and off-chain training, showing competitive accuracy and low communication on medical datasets.