UniVarFL adds a classifier variance regularizer and a hyperspherical uniformity regularizer to local federated training, reporting improved accuracy on some non-IID benchmarks but not consistently across its own experiments.
No fear of heterogeneity: Classifier calibration for federated learning with non-iid data.Advances in Neural Information Processing Systems, 34:5972– 5984, 2021
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UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data
UniVarFL adds a classifier variance regularizer and a hyperspherical uniformity regularizer to local federated training, reporting improved accuracy on some non-IID benchmarks but not consistently across its own experiments.