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 applied to remote sensing image classification%2C this study introduces and assesses several innovative communication strategies. Our exploration includes feature-centric communication%2C pseudo-weight amalgamation%2C and a combined method utilizing both weights and features. Experiments conducted on two public scene classification datasets unveil the effectiveness of these strategies%2C showcasing accelerated convergence%2C heightened privacy%2C and reduced network information exchange. This research provides valuable insights into the implications of feature-centric communication in FL%2C offering potential applications tailored for remote sensing scenarios.?quality=80&w=800)
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