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FedAUCert-Select: Retraining-Reference-Free Auditable Candidate Selection and Verifiable Certificates for Federated Unlearning

https://doi.org/10.2139/ssrn.6965787
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0098-1354(93)80018-iopenalex-snapshot
A plant-wide industrial process control problem
inferredcites →https://doi.org/10.1016/j.eswa.2023.122210openalex-snapshot
Privacy-preserving and Byzantine-robust Federated Learning Framework using Permissioned Blockchain
inferredcites →https://doi.org/10.1109/mnet.004.2300056openalex-snapshot
Federated Unlearning and Its Privacy Threats
inferredcites →https://doi.org/10.1109/tdsc.2024.3382321openalex-snapshot
VeriFi: Towards Verifiable Federated Unlearning
inferredcites →https://doi.org/10.1109/tifs.2023.3297905openalex-snapshot
FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks
inferredcites →https://doi.org/10.1109/tnnls.2024.3478334openalex-snapshot
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics
inferredcites →https://doi.org/10.1145/3298981openalex-snapshot
Federated Machine Learning
inferredcites →https://doi.org/10.1145/3679014openalex-snapshot
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions
inferredcites →https://doi.org/10.1561/2200000083openalex-snapshot
Advances and Open Problems in Federated Learning
inferredcites →https://doi.org/10.56553/popets-2022-0072openalex-snapshot
Athena: Probabilistic Verification of Machine Unlearning
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