Leveraging feature communication in federated learning for remote sensing image classification
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Abstract (arXiv)
In the realm of Federated Learning (FL) applied to remote sensing image classification, this study introduces and assesses several innovative communication strategies. Our exploration includes feature-centric communication, pseudo-weight amalgamation, and a combined method utilizing both weights and features. Experiments conducted on two public scene classification datasets unveil the effectiveness of these strategies, showcasing accelerated convergence, heightened privacy, and reduced network information exchange. This research provides valuable insights into the implications of feature-centric communication in FL, offering potential applications tailored for remote sensing scenarios.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 7 of its 12 references that are in the map. First posted on arXiv 20 Mar 2024.
Builds on
7 of 12 references.
References · 7
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
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- 2018CosFace: Large Margin Cosine Loss for Deep Face Recognitioncited by 971
- 2019A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protectioncited by 374
- 2016AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classificationcited by 347
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- 2023Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learningcited by 8
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Citing papers per year: 2025: 3; 2026: 1.
4 papers.
- 2025FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Modelscited by 11
- 2025FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensingcited by 3
- 2025FedX: Explanation-Guided Pruning for Communication-Efficient Federated Learning in Remote Sensingcited by 1
- 2026Leveraging Membership Inference Attacks for Privacy Measurement in Federated Learning for Remote Sensing Imagescited by 0
- 2026Leveraging Membership Inference Attacks for Privacy Measurement in Federated Learning for Remote Sensing Images8 Jan 2026
- 2025FedX: Explanation-Guided Pruning for Communication-Efficient Federated Learning in Remote Sensing8 Aug 2025
- 2025FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing13 May 2025
- 2025FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models5 Jan 2025