Hiram Galeana-Zapién

A Meta-Learning-Based Aggregation Strategy for Heterogeneous Federated Learning Scenarios

It is demonstrated that prediction-space meta-learning constitutes a practical alternative for federated aggregation without requiring shared parameter initialization, and among the different forms of heterogeneity in federated learning, this work focuses on statistical and model heterogeneity.