Our paper "FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness" is accepted by AAAI 2026

We are glad to share that our paper "FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness" has been accepted to the AAAI Conference on Artificial Intelligence (AAAI 2026).

The paper presents FedShard, a federated unlearning framework that removes the influence of requested data while jointly maintaining efficiency fairness and performance fairness across participating clients.