SParSeFuL combines proximity-based self-federated learning with sparsification and quantization, but the paper is a proposal with no end-to-end evaluation.
Towards effective clustered federated learning: A peer-to-peer framework with adaptive neighbor matching,
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Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0
SParSeFuL combines proximity-based self-federated learning with sparsification and quantization, but the paper is a proposal with no end-to-end evaluation.