Extends Flower framework with FedSaSync semi-asynchronous strategy, claiming reduced idle time versus synchronous baselines in heterogeneous settings.
A semi-asynchronous feder- ated learning method integrating per- sonalization and staleness awareness for traffic flow prediction in dynamic Internet of Vehicles
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Semi-asynchronous Federated Learning in Flower: Framework Extension and Performance Assessment
Extends Flower framework with FedSaSync semi-asynchronous strategy, claiming reduced idle time versus synchronous baselines in heterogeneous settings.