Not All Retained Clients Are Equal: Client Selection for Federated Unlearning
arXiv:2610.31786v1 Announce Type: new Abstract: Federated unlearning (FU) aims to remove a designated target client's influence from a trained model without the prohibitive cost of retraining from scratch. Existing methods largely treat unlearning as a post-hoc, stateless operation, overlooking tha…
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- 2026-10-26 04:00 · arXiv cs.LG
Not All Retained Clients Are Equal: Client Selection for Federated Unlearning