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PriFog: Privacy-Preserving Federated Unlearning for Dynamic IoT Systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/jbhi.2022.3157725openalex-snapshot
Privacy-Preserving Federated Learning for Internet of Medical Things Under Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2023.3321594openalex-snapshot
Federated Unlearning With Momentum Degradation
inferredcites →https://doi.org/10.1109/jiot.2024.3385479openalex-snapshot
FVFL: A Flexible and Verifiable Privacy-Preserving Federated Learning Scheme
inferredcites →https://doi.org/10.1109/mnet.001.2200198openalex-snapshot
Federated Unlearning: Guarantee the Right of Clients to Forget
inferredcites →https://doi.org/10.1109/mnet.004.2300056openalex-snapshot
Federated Unlearning and Its Privacy Threats
inferredcites →https://doi.org/10.1109/msp.2012.2211477openalex-snapshot
The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]
inferredcites →https://doi.org/10.1109/nana60121.2023.00102openalex-snapshot
FLAP: Federated Learning Aggregation Scheme Based on Privileged Secret Sharing
inferredcites →https://doi.org/10.1109/sp46215.2023.10179336openalex-snapshot
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information
inferredcites →https://doi.org/10.1109/sp54263.2024.00248openalex-snapshot
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning
inferredcites →https://doi.org/10.1109/tdsc.2021.3104842openalex-snapshot
RevFRF: Enabling Cross-Domain Random Forest Training With Revocable Federated Learning
inferredcites →https://doi.org/10.1109/tdsc.2022.3194884openalex-snapshot
Learn to Forget: Machine Unlearning via Neuron Masking
inferredcites →https://doi.org/10.1109/tifs.2022.3176191openalex-snapshot
PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework
inferredcites →https://doi.org/10.1109/tits.2023.3243088openalex-snapshot
Enhanced Federated Learning for Edge Data Security in Intelligent Transportation Systems
inferredcites →https://doi.org/10.1109/tsc.2024.3355188openalex-snapshot
Server-Initiated Federated Unlearning to Eliminate Impacts of Low-Quality Data
inferredcites →https://doi.org/10.1145/3679014openalex-snapshot
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions
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