CALM: Fine-grained federated unlearning via CLIP-assisted LoRA-MoE memory editing.
Federated learning (FL) enables decentralized clients to collaboratively train a global model without sharing raw data, inherently improving data confidentiality during training. With regulatory frameworks such as the General Data Protection Regulation (GDPR) mandating the right to be forgotten, Federated Unlearning (F...