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.
Distributed learning in wireless networks: Recent progress and future challenges.IEEE Journal on Selected Areas in Communications, 39(12):3579–3605, 2021
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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.