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papersTODAY 04:00 UTC

Federated Defense Framework Targets Noise in SAR Image Recognition

A revised arXiv paper proposes a federated learning defense framework for synthetic aperture radar target recognition that adapts dynamically to noise. The approach aims to reduce reliance on centralized training, which raises privacy and bandwidth concerns. It is positioned as a cross-domain replacement for an earlier submission.

federated-learning/sar/remote-sensing/privacy