Federated Learning with Spiking Neural Networks

11 June 2021

Yeshwanth Venkatesha

Youngeun Kim

Leandros Tassiulas

Priyadarshini Panda

FedML

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Papers citing "Federated Learning with Spiking Neural Networks"

24 / 24 papers shown

Title
Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data Jie Liu Y. Wang FedML 75 0 0 20 Mar 2025
Neuromorphic Wireless Split Computing with Multi-Level Spikes Dengyu Wu Jiechen Chen Bipin Rajendran H. Vincent Poor Osvaldo Simeone 44 1 0 07 Nov 2024
The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning Manh V. Nguyen Liang Zhao Bobin Deng William M. Severa Honghui Xu Shaoen Wu FedML 27 0 0 19 Sep 2024
Emulating Brain-like Rapid Learning in Neuromorphic Edge Computing Kenneth Stewart Michael Neumeier Sumit Bam Shrestha Garrick Orchard Emre Neftci 35 0 0 28 Aug 2024
Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs Maryam Abbasihafshejani Anindya Maiti Murtuza Jadliwala FedML 31 0 0 24 Jul 2024
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning Qiugang Zhan Jinbo Cao Xiurui Xie Malu Zhang Huajin Tang Guisong Liu FedML 32 0 0 18 Jun 2024
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices Hanqing Fu Gaolei Li Jun Wu Jianhua Li Xi Lin Kai Zhou Yuchen Liu AAML 33 1 0 27 Mar 2024
Time-Distributed Backdoor Attacks on Federated Spiking Learning Gorka Abad S. Picek A. Urbieta AAML FedML 16 2 0 05 Feb 2024
Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology Souvik Kundu Rui-jie Zhu Akhilesh R. Jaiswal P. Beerel 35 4 0 02 Dec 2023
Green Edge AI: A Contemporary Survey Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 28 16 0 01 Dec 2023
Are SNNs Truly Energy-efficient? $-$ A Hardware Perspective Abhiroop Bhattacharjee Ruokai Yin Abhishek Moitra Priyadarshini Panda 17 7 0 06 Sep 2023
Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN Yang‐Zhi Hu Qian Zheng Xudong Jiang Gang Pan MQ 18 48 0 31 May 2023
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks Youngeun Kim Yuhang Li Abhishek Moitra Ruokai Yin Priyadarshini Panda 28 10 0 26 May 2023
Communication Trade-offs in Federated Learning of Spiking Neural Networks Soumi Chaki David Weinberg Ayça Özçelikkale FedML 14 1 0 27 Feb 2023
OpenSpike: An OpenRAM SNN Accelerator Farhad Modaresi Matthew Guthaus Jason Eshraghian 14 10 0 02 Feb 2023
STSyn: Speeding Up Local SGD with Straggler-Tolerant Synchronization Feng Zhu Jingjing Zhang Xin Eric Wang 22 3 0 06 Oct 2022
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Ruokai Yin Priyadarshini Panda 22 46 0 04 Jul 2022
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition Kan Xie Zhe Zhang Bo Li Jiawen Kang Dusit Niyato Shengli Xie Yi Wu 17 66 0 28 May 2022
Neural Architecture Search for Spiking Neural Networks Youngeun Kim Yuhang Li Hyoungseob Park Yeshwanth Venkatesha Priyadarshini Panda 16 88 0 23 Jan 2022
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks Guobin Shen Dongcheng Zhao Yi Zeng 31 54 0 17 Oct 2021
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Youngeun Kim Joshua Chough Priyadarshini Panda 40 79 0 14 Oct 2021
PrivateSNN: Privacy-Preserving Spiking Neural Networks Youngeun Kim Yeshwanth Venkatesha Priyadarshini Panda 13 22 0 07 Apr 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 119 293 0 04 May 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations Saima Sharmin Nitin Rathi Priyadarshini Panda Kaushik Roy AAML 106 85 0 23 Mar 2020