Benchmarking Data Heterogeneity Evaluation Approaches for Personalized
Federated Learning
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized
Federated Learning
There is growing research interest in measuring the statistical heterogeneity of clients' local datasets. Such measurements are used to estimate the suitability for collaborative training of personalized federated learning (PFL) models. Currently, these research endeavors are taking place in silos and there is a lack of a unified benchmark to …