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Take History as a Mirror in Heterogeneous Federated Learning
Federated Learning (FL) allows several clients to cooperatively train machine learning models without disclosing the raw data.
Celeritas: Fast Optimizer for Large Dataflow Graphs
The rapidly enlarging neural network models are becoming increasingly challenging to run on a single device.
HideNseek: Federated Lottery Ticket via Server-side Pruning and Sign Supermask
Consequently, the training requires high computation cost and a long time to converge while the model performance does not pay off.
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