Haibo Mi

FedH2L: Federated Learning with Model and Statistical Heterogeneity

2021 · arXiv (Cornell University)

Federated learning (FL) enables distributed participants to collectively learn a strong global model without sacrificing their individual data privacy. Mainstream FL approaches require each participant to share a common network architecture and further assume that …