mlsanityData to 7 Oct 2026

Federated Weather Modeling on Sensor Data

arXiv 2605.00322 ↗First posted 1 May 2026cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

Federated weather modeling on sensor data is a distributed system underpinned by federated learning, enabling multiple sensor data sources, including ground weather stations, satellites and IoT devices, to collaboratively train deep learning models without sharing raw data. This method safeguards data privacy and security while leverages diverse, geographically distributed datasets to improve the accuracy and robustness of global/regional weather modeling tasks such as forecasting and anomaly detection.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 19 of its 32 references that are in the map. First posted on arXiv 1 May 2026.

Builds on

19 of 32 references.

References · 19

  1. 2016Communication-Efficient Learning of Deep Networks from Decentralized Datacited by 7,592
  2. 2022TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysiscited by 1,030
  3. 2021FedBN: Federated Learning on Non-IID Features via Local Batch Normalizationcited by 565
  4. 2019Federated Learning with Personalization Layerscited by 533
  5. 2022Transformers in Time Series: A Surveycited by 489
  6. 2020Time Series Forecasting With Deep Learning: A Surveycited by 457
  7. 2021FedProto: Federated Prototype Learning across Heterogeneous Clientscited by 349
  8. 2022Federated Learning from Pre-Trained Models: A Contrastive Learning Approachcited by 141
  9. 2023SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecastingcited by 53
  10. 2023Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Datacited by 40
  11. 2023Foundation Models for Weather and Climate Data Understanding: A Comprehensive Surveycited by 32
  12. 2022Personalized Federated Learning With Graphcited by 29
7 more
  1. 2023Federated Prompt Learning for Weather Foundation Models on Devicescited by 17
  2. 2024Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Modelscited by 15
  3. 2025FeDaL: Federated Dataset Learning for General Time Series Foundation Modelscited by 10
  4. 2023FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusioncited by 8
  5. 2024Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areascited by 4
  6. 2026Bi-level Heterogeneous Learning for Time Series Foundation Models: A Federated Learning Approachcited by 2
  7. 2024FedASTA: Federated adaptive spatial-temporal attention for traffic flow predictioncited by 1

Built on by

Not cited yet.