… unique complexities of federated unlearning, highlighting limitations on directly applying
centralized unlearning methods. We compare existing federated unlearning methods regarding …

… 2 Targets and Challenges of Federated Unlearning … explore the targets of federated
unlearning and the associated challenges compared to traditional machine unlearning. The insights …

… Finally, we outline the most relevant and still open technical challenges, by identifying the …
, ie just excluding the client that requested its removal from the federation, we performed a set …

… federated unlearning present significant challenges in the context of federated domain
unlearning… methods for federated unlearning introduce substantial challenges within the sphere of …

… not be a panacea for all the challenges faced by federated unlearning and verification, they
… rich set of research opportunities to explore further, such as new unlearning and verification …

… oracle to remove the influence of their data, with little opportunity to verify it [7]. This makes
… This research addresses the challenge of integrating machine unlearning into Federated …

… promising progress while revealing key challenges and opportunities for improvement. The
… to facilitate unlearning. When the federated unlearning process begins, the federated server …

… For example, an honest-but-curious server or adversarial clients, the discrepancy between
the global model versions before and after unlearning presents an opportunity to extract …

… challenge in federated learning (FL), leading to the development of federated unlearning
(FU)… to guarantee a higher level forgetting, marking an opportunity for innovation in unlearning. …

… the unlearning phase, requesting users have the opportunity … uses of federated unlearning
compared to traditional unlearning … Lastly, this work identifies challenges and outlines future …