Federated learning framework for SNNs that adapts to heterogeneous temporal resolutions via neuron parameter integration, recovering accuracy on SHD and DVS-Gesture under varied mismatch scenarios.
Big data reduction methods: a survey.Data Science and Engineering, 1:265–284, 2016
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Federated Learning of Spiking Neural Networks under Heterogeneous Temporal Resolutions
Federated learning framework for SNNs that adapts to heterogeneous temporal resolutions via neuron parameter integration, recovering accuracy on SHD and DVS-Gesture under varied mismatch scenarios.