Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges
Human Activity Recognition (HAR) has seen remarkable advances in recent years, driven by
the widespread use of wearable devices and the increasing demand for personalized …
the widespread use of wearable devices and the increasing demand for personalized …
A privacy and energy-aware federated framework for human activity recognition
Human activity recognition (HAR) using wearable sensors enables continuous monitoring
for healthcare applications. However, the conventional centralised training of deep learning …
for healthcare applications. However, the conventional centralised training of deep learning …
SURFS: Sustainable intrUsion detection with hieraRchical Federated Spiking neural networks
The rapid proliferation of Internet of Things (IoT) devices and the transition to distributed
computing environments necessitate advanced intrusion detection systems (IDS) to …
computing environments necessitate advanced intrusion detection systems (IDS) to …
Carbon-aware machine learning: A case study on cellular traffic forecasting with spiking neural networks
Cellular traffic forecasting is an essential task that enables network operators to perform
resource allocation and anomaly mitigation in fast-paced modern environments. However …
resource allocation and anomaly mitigation in fast-paced modern environments. However …
FedLEC: Effective Federated Learning Algorithm with Spiking Neural Networks Under Label Skews
With the advancement of neuromorphic chips, implementing Federated Learning (FL) with
Spiking Neural Networks (SNNs) potentially offers a more energy-efficient schema for …
Spiking Neural Networks (SNNs) potentially offers a more energy-efficient schema for …
The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning
Spiking Neural Networks (SNNs) have recently gained significant interest in on-chip
learning in embedded devices and emerged as an energy-efficient alternative to …
learning in embedded devices and emerged as an energy-efficient alternative to …
Hybrid Neuromorphic‐Federated Learning for Activity Recognition Using Multi‐modal Wearable Sensors
In this chapter, the authors proposed an hybrid neuromorphic federated learning framework
that synergizes the computational efficiency of spiking neural networks with the dynamic …
that synergizes the computational efficiency of spiking neural networks with the dynamic …
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A PhD-holder - Nature, 1991 - abg.asso.fr
L'École de l'air est une grande école militaire (ayant le statut d'EPSCP-GE) implantée à
Salon-de-Provence, habilitée à délivrer le titre d'ingénieur. Elle est membre de la …
Salon-de-Provence, habilitée à délivrer le titre d'ingénieur. Elle est membre de la …