ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.09594
  4. Cited By
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power
  Edge Intelligence

Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence

21 October 2019
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
    FedML
ArXiv (abs)PDFHTML

Papers citing "Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence"

20 / 20 papers shown
Title
Neuromorphic Wireless Split Computing with Multi-Level Spikes
Neuromorphic Wireless Split Computing with Multi-Level Spikes
Dengyu Wu
Jiechen Chen
Bipin Rajendran
H. Vincent Poor
Osvaldo Simeone
81
1
0
07 Nov 2024
The Robustness of Spiking Neural Networks in Communication and its
  Application towards Network Efficiency in Federated Learning
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
79
0
0
19 Sep 2024
SFedCA: Credit Assignment-Based Active Client Selection Strategy for
  Spiking Federated Learning
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
74
0
0
18 Jun 2024
Heterogeneous Federated Learning with Convolutional and Spiking Neural
  Networks
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks
Yingchao Yu
Yuping Yan
Jisong Cai
Yaochu Jin
FedML
60
0
0
14 Jun 2024
Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic
  Learning over Low-power Devices
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
72
1
0
27 Mar 2024
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
111
12
0
05 Mar 2024
Energy-Efficient On-Board Radio Resource Management for Satellite
  Communications via Neuromorphic Computing
Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing
Flor Ortíz
N. Skatchkovsky
E. Lagunas
W. A. Martins
G. Eappen
Saed Daoud
Osvaldo Simeone
Bipin Rajendran
Symeon Chatzinotas
83
8
0
22 Aug 2023
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking
  Neural Networks
Sharing Leaky-Integrate-and-Fire Neurons for Memory-Efficient Spiking Neural Networks
Youngeun Kim
Yuhang Li
Abhishek Moitra
Ruokai Yin
Priyadarshini Panda
64
12
0
26 May 2023
Communication Trade-offs in Federated Learning of Spiking Neural
  Networks
Communication Trade-offs in Federated Learning of Spiking Neural Networks
Soumi Chaki
David Weinberg
Ayça Özçelikkale
FedML
100
1
0
27 Feb 2023
Bayesian Continual Learning via Spiking Neural Networks
Bayesian Continual Learning via Spiking Neural Networks
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
BDL
62
18
0
29 Aug 2022
Efficient Federated Learning with Spike Neural Networks for Traffic Sign
  Recognition
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
48
67
0
28 May 2022
Federated Learning with Spiking Neural Networks
Federated Learning with Spiking Neural Networks
Yeshwanth Venkatesha
Youngeun Kim
Leandros Tassiulas
Priyadarshini Panda
FedML
63
48
0
11 Jun 2021
Learning to Time-Decode in Spiking Neural Networks Through the
  Information Bottleneck
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
N. Skatchkovsky
Osvaldo Simeone
Hyeryung Jang
80
20
0
02 Jun 2021
Fast On-Device Adaptation for Spiking Neural Networks via
  Online-Within-Online Meta-Learning
Fast On-Device Adaptation for Spiking Neural Networks via Online-Within-Online Meta-Learning
Bleema Rosenfeld
Bipin Rajendran
Osvaldo Simeone
OffRL
94
9
0
21 Feb 2021
A Systematic Literature Review on Federated Learning: From A Model
  Quality Perspective
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective
Yi Liu
Li Zhang
Ning Ge
Guanghao Li
FedML
92
24
0
01 Dec 2020
Spiking Neural Networks -- Part III: Neuromorphic Communications
Spiking Neural Networks -- Part III: Neuromorphic Communications
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
63
12
0
27 Oct 2020
Connection Pruning for Deep Spiking Neural Networks with On-Chip
  Learning
Connection Pruning for Deep Spiking Neural Networks with On-Chip Learning
Thao N. N. Nguyen
B. Veeravalli
Xuanyao Fong
88
14
0
09 Oct 2020
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge
  Artificial Intelligence
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
62
24
0
03 Sep 2020
Memristors -- from In-memory computing, Deep Learning Acceleration,
  Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired
  Computing
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
A. Mehonic
Abu Sebastian
Bipin Rajendran
Osvaldo Simeone
Eleni Vasilaki
A. Kenyon
60
212
0
30 Apr 2020
Convergence Time Optimization for Federated Learning over Wireless
  Networks
Convergence Time Optimization for Federated Learning over Wireless Networks
Mingzhe Chen
H. Vincent Poor
Walid Saad
Shuguang Cui
59
299
0
22 Jan 2020
1