Hokeun Kim

Label Granularity Skew in Federated Learning with Hierarchical Image Classification

BDFT and its federated version, FedBDFT, are proposed, which fine-tune branch-wise classifiers and aggregate them through federated optimization and demonstrate its effectiveness for federated hierarchical classification with heterogeneous label granularities.