Practical Federated Unlearning: A Target Client-Driven Approach to Model Forgetting
To remove the contribution of specific data from the global model in federated learning, federated unlearning has recently emerged. Existing approaches face challenges such as reliance on full client participation, the need to store historical model updates, and high communication costs. To overcome these limitations,...