2 papers
cs.LG2024
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning
Qiugang Zhan, Jinbo Cao, Xiurui Xie +3
Spiking federated learning is an emerging distributed learning paradigm that allows resource-constrained devices to train collaboratively at low power consumption without exchangin…
eess.SP2024
Application based Evaluation of an Efficient Spike-Encoder, "Spiketrum"
MHD Anas Alsakkal, Runze Wang, Jayawan Wijekoon +1
Spike-based encoders represent information as sequences of spikes or pulses, which are transmitted between neurons. A prevailing consensus suggests that spike-based approaches demo…