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07/10/2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks
The Spiking Neural Network (SNN) has attracted more and more attention r...
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06/20/2023
Personalized Federated Learning with Feature Alignment and Classifier Collaboration
Data heterogeneity is one of the most challenging issues in federated le...
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10/13/2022
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks
Brain-inspired spiking neural networks (SNNs) have recently drawn more a...
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05/13/2022
An Information-theoretic Method for Collaborative Distributed Learning with Limited Communication
In this paper, we study the information transmission problem under the d...
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02/20/2020
Differentially Private ERM Based on Data Perturbation
In this paper, after observing that different training data instances af...
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02/20/2020
