On the Sensitivity of Firing Rate-Based Federated Spiking Neural Networks to Differential Privacy | ScienceToStartup | ScienceToStartup

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References (18)

[1]

Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence

2025Edward Collins, Michel Wang

[2]

Encrypted Spiking Neural Networks Based on Adaptive Differential Privacy Mechanism

2025Xiwen Luo, Qiang Fu et al.

[3]

DA-LIF: Dual Adaptive Leaky Integrate-and-Fire Model for Deep Spiking Neural Networks

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"Develops guidelines for privacy-preserving Federated Neuromorphic Learning using Differential Privacy mechanisms."

Federated Learning•Score: 3•View PDF ↗

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On the Sensitivity of Firing Rate-Based Federated Spiking Neural Networks to Differential Privacy

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References (18)

Founder's Pitch

"Develops guidelines for privacy-preserving Federated Neuromorphic Learning using Differential Privacy mechanisms."

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On the Sensitivity of Firing Rate-Based Federated Spiking Neural Networks to Differential Privacy

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References (18)

Founder's Pitch

"Develops guidelines for privacy-preserving Federated Neuromorphic Learning using Differential Privacy mechanisms."

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