FedASMU and FedSSMU improve federated learning accuracy and speed by dynamically disseminating fresh global models to devices during local training, using server-side and device-side adaptive weighting.
Fl-qsar: a federated learning-based qsar prototype for collaborative drug discovery,
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Efficient Federated Learning with Timely Update Dissemination
FedASMU and FedSSMU improve federated learning accuracy and speed by dynamically disseminating fresh global models to devices during local training, using server-side and device-side adaptive weighting.