SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Tao, Ran, Zhan, Qiugang, Yang, Shantian, Xie, Xiurui, Tian, Qi, Liu, Guisong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning
by: Zhan, Qiugang, et al.
Published: (2024)
by: Zhan, Qiugang, et al.
Published: (2024)
ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling
by: Zhan, Qiugang, et al.
Published: (2023)
by: Zhan, Qiugang, et al.
Published: (2023)
Spike-NVPT: Learning Robust Visual Prompts via Bio-Inspired Temporal Filtering and Discretization
by: Zhan, Qiugang, et al.
Published: (2026)
by: Zhan, Qiugang, et al.
Published: (2026)
SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation
by: Xu, Haotian, et al.
Published: (2025)
by: Xu, Haotian, et al.
Published: (2025)
On the Sensitivity of Firing Rate-Based Federated Spiking Neural Networks to Differential Privacy
by: Pereira, Luiz, et al.
Published: (2026)
by: Pereira, Luiz, et al.
Published: (2026)
SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data
by: Yang, Mingkun, et al.
Published: (2025)
by: Yang, Mingkun, et al.
Published: (2025)
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
by: Aryal, Bibek, et al.
Published: (2026)
by: Aryal, Bibek, et al.
Published: (2026)
Falcon: A Cross-Modal Evaluation Dataset for Comprehensive Safety Perception
by: Xue, Qi, et al.
Published: (2025)
by: Xue, Qi, et al.
Published: (2025)
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks
by: Yu, Yingchao, et al.
Published: (2024)
by: Yu, Yingchao, et al.
Published: (2024)
Federated Learning of Spiking Neural Networks under Heterogeneous Temporal Resolutions
by: Karilanova, Sanja, et al.
Published: (2026)
by: Karilanova, Sanja, et al.
Published: (2026)
Learning Unified Representations from Heterogeneous Data for Robust Heart Rate Modeling
by: Huang, Zhengdong, et al.
Published: (2025)
by: Huang, Zhengdong, et al.
Published: (2025)
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations
by: Guo, Qi, et al.
Published: (2024)
by: Guo, Qi, et al.
Published: (2024)
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments
by: Wang, Leo Muxing, et al.
Published: (2024)
by: Wang, Leo Muxing, et al.
Published: (2024)
Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks
by: Zhan, Shichen, et al.
Published: (2024)
by: Zhan, Shichen, et al.
Published: (2024)
Traceable Latent Variable Discovery Based on Multi-Agent Collaboration
by: Du, Huaming, et al.
Published: (2026)
by: Du, Huaming, et al.
Published: (2026)
Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning
by: Shen, Jiangrong, et al.
Published: (2025)
by: Shen, Jiangrong, et al.
Published: (2025)
Spiking Heterogeneous Graph Attention Networks
by: Cao, Buqing, et al.
Published: (2025)
by: Cao, Buqing, et al.
Published: (2025)
Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration
by: Gao, Junqi, et al.
Published: (2025)
by: Gao, Junqi, et al.
Published: (2025)
FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
by: Fan, Tao, et al.
Published: (2026)
by: Fan, Tao, et al.
Published: (2026)
HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning
by: Zheng, Chuhang, et al.
Published: (2025)
by: Zheng, Chuhang, et al.
Published: (2025)
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
by: Zhang, Jianqing, et al.
Published: (2024)
by: Zhang, Jianqing, et al.
Published: (2024)
Convergence Analysis of Split Federated Learning on Heterogeneous Data
by: Han, Pengchao, et al.
Published: (2024)
by: Han, Pengchao, et al.
Published: (2024)
Multi-view Attention Fusion of Heterogeneous Hypergraph with Dynamic Behavioral Profiling for Personalized Learning Resource Recommendation
by: Xie, Tao, et al.
Published: (2026)
by: Xie, Tao, et al.
Published: (2026)
Advancing Direct Training for Spiking Neural Networks with Circulate-Firing Neurons and Learnable Gradients
by: Zhou, Feifan, et al.
Published: (2026)
by: Zhou, Feifan, et al.
Published: (2026)
FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning
by: Liu, Jiayu, et al.
Published: (2024)
by: Liu, Jiayu, et al.
Published: (2024)
Transformer-based Capacity Prediction for Lithium-ion Batteries with Data Augmentation
by: Modekwe, Gift, et al.
Published: (2024)
by: Modekwe, Gift, et al.
Published: (2024)
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems
by: Jia, Chentao, et al.
Published: (2023)
by: Jia, Chentao, et al.
Published: (2023)
FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning
by: Kou, Zhiqiang, et al.
Published: (2026)
by: Kou, Zhiqiang, et al.
Published: (2026)
The Impact Analysis of Delays in Asynchronous Federated Learning with Data Heterogeneity for Edge Intelligence
by: Hao, Ziruo, et al.
Published: (2025)
by: Hao, Ziruo, et al.
Published: (2025)
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
by: Zhang, Tianyi, et al.
Published: (2024)
by: Zhang, Tianyi, et al.
Published: (2024)
Heterogeneity-Oblivious Robust Federated Learning
by: Zhang, Weiyao, et al.
Published: (2025)
by: Zhang, Weiyao, et al.
Published: (2025)
Brain-Inspired Spike Echo State Network Dynamics for Aero-Engine Intelligent Fault Prediction
by: Liu, Mo-Ran, et al.
Published: (2024)
by: Liu, Mo-Ran, et al.
Published: (2024)
Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
by: Li, Jingyang, et al.
Published: (2024)
by: Li, Jingyang, et al.
Published: (2024)
The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy
by: Ma, Jiating, et al.
Published: (2024)
by: Ma, Jiating, et al.
Published: (2024)
FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence
by: Xie, Zhijie, et al.
Published: (2022)
by: Xie, Zhijie, et al.
Published: (2022)
Knowledge Rumination for Client Utility Evaluation in Heterogeneous Federated Learning
by: Jiang, Xiaorui, et al.
Published: (2023)
by: Jiang, Xiaorui, et al.
Published: (2023)
Personalized One-shot Federated Graph Learning for Heterogeneous Clients
by: Yan, Guochen, et al.
Published: (2024)
by: Yan, Guochen, et al.
Published: (2024)
Client Selection for Federated Policy Optimization with Environment Heterogeneity
by: Xie, Zhijie, et al.
Published: (2023)
by: Xie, Zhijie, et al.
Published: (2023)
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
by: Ji, Shaoxiong, et al.
Published: (2021)
by: Ji, Shaoxiong, et al.
Published: (2021)
Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance
by: Dong, Li, et al.
Published: (2024)
by: Dong, Li, et al.
Published: (2024)
Similar Items
-
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning
by: Zhan, Qiugang, et al.
Published: (2024) -
ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling
by: Zhan, Qiugang, et al.
Published: (2023) -
Spike-NVPT: Learning Robust Visual Prompts via Bio-Inspired Temporal Filtering and Discretization
by: Zhan, Qiugang, et al.
Published: (2026) -
SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation
by: Xu, Haotian, et al.
Published: (2025) -
On the Sensitivity of Firing Rate-Based Federated Spiking Neural Networks to Differential Privacy
by: Pereira, Luiz, et al.
Published: (2026)