Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach

Documenti analoghi

• Learning with Calibration: Exploring Test-Time Computing of Spatio-Temporal Forecasting
  di: Chen, Wei, et al.
  Pubblicazione: (2025)
• Expand and Compress: Exploring Tuning Principles for Continual Spatio-Temporal Graph Forecasting
  di: Chen, Wei, et al.
  Pubblicazione: (2024)
• ST-LoRA: Low-rank Adaptation for Spatio-Temporal Forecasting
  di: Ruan, Weilin, et al.
  Pubblicazione: (2024)
• GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
  di: Ke, Songyu, et al.
  Pubblicazione: (2025)
• Discrete Prototypical Memories for Federated Time Series Foundation Models
  di: Deng, Liwei, et al.
  Pubblicazione: (2026)