Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach
Fuente:
arXiv
Guardado en:
| Autores principales: | Liu, Qingxiang, Sun, Sheng, Liang, Yuxuan, Xue, Jingjing, Liu, Min |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
por: Chen, Wei, et al.
Publicado: (2025)
por: Chen, Wei, et al.
Publicado: (2025)
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
por: Chen, Wei, et al.
Publicado: (2024)
por: Chen, Wei, et al.
Publicado: (2024)
ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting
por: Ruan, Weilin, et al.
Publicado: (2024)
por: Ruan, Weilin, et al.
Publicado: (2024)
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
por: Ke, Songyu, et al.
Publicado: (2025)
por: Ke, Songyu, et al.
Publicado: (2025)
Discrete Prototypical Memories for Federated Time Series Foundation Models
por: Deng, Liwei, et al.
Publicado: (2026)
por: Deng, Liwei, et al.
Publicado: (2026)
FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation
por: Feng, Yutong, et al.
Publicado: (2025)
por: Feng, Yutong, et al.
Publicado: (2025)
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming
por: Wang, Hao, et al.
Publicado: (2024)
por: Wang, Hao, et al.
Publicado: (2024)
Learning from Complexity: Exploring Dynamic Sample Pruning of Spatio-Temporal Training
por: Chen, Wei, et al.
Publicado: (2026)
por: Chen, Wei, et al.
Publicado: (2026)
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
por: Jiang, Xuefeng, et al.
Publicado: (2024)
por: Jiang, Xuefeng, et al.
Publicado: (2024)
Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting
por: Liu, Yao
Publicado: (2025)
por: Liu, Yao
Publicado: (2025)
Prompt-Based Spatio-Temporal Graph Transfer Learning
por: Hu, Junfeng, et al.
Publicado: (2024)
por: Hu, Junfeng, et al.
Publicado: (2024)
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic
por: Liu, Zibo, et al.
Publicado: (2024)
por: Liu, Zibo, et al.
Publicado: (2024)
UrbanFM: Scaling Urban Spatio-Temporal Foundation Models
por: Chen, Wei, et al.
Publicado: (2026)
por: Chen, Wei, et al.
Publicado: (2026)
X-VORTEX: Spatio-Temporal Contrastive Learning for Wake Vortex Trajectory Forecasting
por: Qu, Zhan, et al.
Publicado: (2026)
por: Qu, Zhan, et al.
Publicado: (2026)
AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
por: Tang, Jianheng, et al.
Publicado: (2025)
por: Tang, Jianheng, et al.
Publicado: (2025)
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
por: Zhang, Weijia, et al.
Publicado: (2023)
por: Zhang, Weijia, et al.
Publicado: (2023)
Nested Spatio-Temporal Time Series Forecasting
por: Ai, Yinghao, et al.
Publicado: (2026)
por: Ai, Yinghao, et al.
Publicado: (2026)
RAST: A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
por: Ruan, Weilin, et al.
Publicado: (2025)
por: Ruan, Weilin, et al.
Publicado: (2025)
Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting
por: Wang, Chengxin, et al.
Publicado: (2024)
por: Wang, Chengxin, et al.
Publicado: (2024)
Spatio-Temporal Field Neural Networks for Air Quality Inference
por: Feng, Yutong, et al.
Publicado: (2024)
por: Feng, Yutong, et al.
Publicado: (2024)
Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction
por: An, Rui, et al.
Publicado: (2025)
por: An, Rui, et al.
Publicado: (2025)
Spatio-temporal Causal Learning for Streamflow Forecasting
por: Wan, Shu, et al.
Publicado: (2024)
por: Wan, Shu, et al.
Publicado: (2024)
Dual-Kernel Graph Community Contrastive Learning
por: Chen, Xiang, et al.
Publicado: (2025)
por: Chen, Xiang, et al.
Publicado: (2025)
Event-CausNet: Unlocking Causal Knowledge from Text with Large Language Models for Reliable Spatio-Temporal Forecasting
por: Niu, Luyao, et al.
Publicado: (2025)
por: Niu, Luyao, et al.
Publicado: (2025)
Automated Spatio-Temporal Weather Modeling for Load Forecasting
por: Keisler, Julie, et al.
Publicado: (2024)
por: Keisler, Julie, et al.
Publicado: (2024)
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
por: Zou, Xiaobei, et al.
Publicado: (2023)
por: Zou, Xiaobei, et al.
Publicado: (2023)
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via
por: Liang, Yuanyuan, et al.
Publicado: (2025)
por: Liang, Yuanyuan, et al.
Publicado: (2025)
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
por: Lyu, Tengfei, et al.
Publicado: (2024)
por: Lyu, Tengfei, et al.
Publicado: (2024)
Perfect Alignment May be Poisonous to Graph Contrastive Learning
por: Liu, Jingyu, et al.
Publicado: (2023)
por: Liu, Jingyu, et al.
Publicado: (2023)
Dual-Branched Spatio-temporal Fusion Network for Multi-horizon Tropical Cyclone Track Forecast
por: Liu, Zili, et al.
Publicado: (2022)
por: Liu, Zili, et al.
Publicado: (2022)
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
por: Yang, Yiyuan, et al.
Publicado: (2024)
por: Yang, Yiyuan, et al.
Publicado: (2024)
APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares
por: Fan, Kejia, et al.
Publicado: (2025)
por: Fan, Kejia, et al.
Publicado: (2025)
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
por: Yeh, Chin-Chia Michael, et al.
Publicado: (2025)
por: Yeh, Chin-Chia Michael, et al.
Publicado: (2025)
Adversarial Spatio-Temporal Attention Networks for Epileptic Seizure Forecasting
por: Li, Zan, et al.
Publicado: (2025)
por: Li, Zan, et al.
Publicado: (2025)
Cross-Subject EEG Emotion Recognition Based on Temporal Asynchronous Alignment Contrastive Learning
por: Xie, Ying, et al.
Publicado: (2026)
por: Xie, Ying, et al.
Publicado: (2026)
CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting
por: Wan, Shu, et al.
Publicado: (2025)
por: Wan, Shu, et al.
Publicado: (2025)
Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
por: Dai, Yajiao, et al.
Publicado: (2025)
por: Dai, Yajiao, et al.
Publicado: (2025)
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
por: Yin, Du, et al.
Publicado: (2024)
por: Yin, Du, et al.
Publicado: (2024)
DK-STN: A Domain Knowledge Embedded Spatio-Temporal Network Model for MJO Forecast
por: Li, Hongliang, et al.
Publicado: (2025)
por: Li, Hongliang, et al.
Publicado: (2025)
Spatio-Temporal Graph Unlearning
por: Guo, Qiming, et al.
Publicado: (2025)
por: Guo, Qiming, et al.
Publicado: (2025)
Ejemplares similares
-
Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
por: Chen, Wei, et al.
Publicado: (2025) -
Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
por: Chen, Wei, et al.
Publicado: (2024) -
ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting
por: Ruan, Weilin, et al.
Publicado: (2024) -
GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
por: Ke, Songyu, et al.
Publicado: (2025) -
Discrete Prototypical Memories for Federated Time Series Foundation Models
por: Deng, Liwei, et al.
Publicado: (2026)