A hierarchical federated learning method with distribution-aware aggregation and structured pruning trains diffusion models under non-IID data with lower communication cost.
Communication-efficient learning of deep networks from decentralized data,
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FedPhD: Federated Pruning with Hierarchical Learning of Diffusion Models
A hierarchical federated learning method with distribution-aware aggregation and structured pruning trains diffusion models under non-IID data with lower communication cost.