Privacy-Preserving Federated Land-Cover Segmentation Under Non-IID Data: Region-Aware Contrastive Regularization and DP-SGD
Federated learning offers a practical route for collaborative land-cover mapping when satellite imagery cannot be pooled centrally, yet two issues remain: non-IID client data can weaken segmentation and shared model updates can still leak information. This study evaluates a privacy-preserving federated semantic-segment...