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05/11/2023
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems
Federated Learning (FL) is a privacy-preserving distributed machine lear...
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04/25/2023
Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient
Spiking Neural Networks (SNNs) are recognized as the candidate for the n...
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11/26/2022
Exploring Temporal Information Dynamics in Spiking Neural Networks
Most existing Spiking Neural Network (SNN) works state that SNNs may uti...
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11/14/2022
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks
We study the Human Activity Recognition (HAR) task, which predicts user ...
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07/04/2022
Lottery Ticket Hypothesis for Spiking Neural Networks
Spiking Neural Networks (SNNs) have recently emerged as a new generation...
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03/24/2022
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization
Federated learning has been extensively studied and is the prevalent met...
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03/11/2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks
Developing neuromorphic intelligence on event-based datasets with spikin...
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01/31/2022
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?
Recent Spiking Neural Networks (SNNs) works focus on an image classifica...
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01/23/2022
Neural Architecture Search for Spiking Neural Networks
Spiking Neural Networks (SNNs) have gained huge attention as a potential...
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12/03/2020
Robust Federated Learning with Noisy Labels
Federated learning is a paradigm that enables local devices to jointly t...
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11/30/2020
Meta Batch-Instance Normalization for Generalizable Person Re-Identification
Although supervised person re-identification (Re-ID) methods have shown ...
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07/03/2020
