Official implementation of the paper "Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity"
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Updated
Jul 17, 2023 - Python
Official implementation of the paper "Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity"
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
Federated Pix2Pix Training with NVIDIA FLARE
Privacy-preserving protocol optimization that enables cross-institutional learning and respects data governance
Project ALVI
machine learning for blockchain
A research-oriented federated learning framework implemented with pytorch and WandB.
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