Channel-Aware Federated Unlearning With Gradient Perturbation in Open Radio Access Networks
Federated learning in Open Radio Access Networks (O-RAN) enables privacy-preserving distributed training, yet regulatory mandates such as the General Data Protection Regulation (GDPR) require verifiable erasure of client data influence from trained models. Existing federated unlearning schemes assume ideal channels, re...