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A Survey on Federated Unlearning: Challenges, Methods, and Future Directions
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Outgoing claims: the papers this work cites, builds on, or argues with.
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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DRFU: Federated Unlearning with Reverse KL-Divergence-based Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/comst.2025.3557475openalex-snapshot
Federated Learning in IoT Environments: Examining the Three-Way See-Saw for Privacy, Model-Performance, and Network-Efficiency
inferred← citeshttps://doi.org/10.1109/comst.2026.3663434openalex-snapshot
Federated Learning for 6G Security: A Survey on Threats, Solutions, and Research Directions
inferred← citeshttps://doi.org/10.1109/cvpr52734.2025.02399openalex-snapshot
NoT: Federated Unlearning via Weight Negation
inferred← citeshttps://doi.org/10.1109/eibdct69742.2026.11567006openalex-snapshot
FedCleanse: A Post-Hoc Unlearning Technique for Federated Learning Against Label Flipping Attacks
inferred← citeshttps://doi.org/10.1109/gcwkshps68340.2025.11591111openalex-snapshot
pMoEFU: Class-Level Federated Unlearning with Personalized Mixture of Experts
inferred← citeshttps://doi.org/10.1109/icaiic64266.2025.10920707openalex-snapshot
Is Client Unlearning Really Necessary in Federating Learning?
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463455openalex-snapshot
Federated Camouflaged Poisoning Attack in Federated Unlearning
inferred← citeshttps://doi.org/10.1109/icme59968.2025.11210106openalex-snapshot
RKU: Relevant Knowledge-aware Unlearning for Federated Continual Learning
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228665openalex-snapshot
Federated Unlearning in Healthcare: Why It Matters
inferred← citeshttps://doi.org/10.1109/infocom59046.2026.11571403openalex-snapshot
Malicious Forgetting: Backdoor Injection in Active Federated Unlearning and Countermeasure Design
inferred← citeshttps://doi.org/10.1109/infocom59046.2026.11571416openalex-snapshot
Certified Unlearning in Decentralized Federated Learning
inferred← citeshttps://doi.org/10.1109/ispa63168.2024.00115openalex-snapshot
A Continuous Verification Mechanism for Clients in Federated Unlearning to Defend the Right to be Forgotten
inferred← citeshttps://doi.org/10.1109/itw61385.2024.10807033openalex-snapshot
FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method
inferred← citeshttps://doi.org/10.1109/jiot.2025.3540463openalex-snapshot
Model Recovery in Federated Unlearning With Restricted Server Data Resources
inferred← citeshttps://doi.org/10.1109/jiot.2025.3571432openalex-snapshot
FedBT: Effective and Robust Federated Unlearning via Bad Teacher Distillation for Secure Internet of Things
inferred← citeshttps://doi.org/10.1109/jiot.2026.3697565openalex-snapshot
Toward Trustworthy IIoT: A Reinforcement Learning Framework With Federated Unlearning
inferred← citeshttps://doi.org/10.1109/jiot.2026.3715918openalex-snapshot
A Survey on Blockchain Intelligence-Based Trust Management for Internet of Vehicles
inferred← citeshttps://doi.org/10.1109/lwc.2026.3730846openalex-snapshot
Channel-Aware Federated Unlearning With Gradient Perturbation in Open Radio Access Networks
inferred← citeshttps://doi.org/10.1109/mc.2025.3588418openalex-snapshot
Changes in the Privacy Landscape in Recent Years: Analysis From AI and Non-AI Contexts
inferred← citeshttps://doi.org/10.1109/mic.2026.3656638openalex-snapshot
Toward Verifiable Federated Unlearning: Framework, Challenges, and the Road Ahead
inferred← citeshttps://doi.org/10.1109/mipr67560.2025.00053openalex-snapshot
Tackling Sequential Entanglement in Split Unlearning
inferred← citeshttps://doi.org/10.1109/mlise70044.2026.11607543openalex-snapshot
FU-TTA: Federated Unlearning for Test-Time Adaptation
inferred← citeshttps://doi.org/10.1109/mnet.2024.3439411openalex-snapshot
Decentralized Unlearning for Trustworthy AI-Generated Content (AIGC) Services
inferred← citeshttps://doi.org/10.1109/ojcoms.2025.3644477openalex-snapshot
A Survey on Security and Privacy in Federated Learning-Based Intrusion Detection Systems for 5G and Beyond Networks
inferred← citeshttps://doi.org/10.1109/raid67961.2025.00020openalex-snapshot
BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning
inferred← citeshttps://doi.org/10.1109/rcsm67767.2025.11507369openalex-snapshot
A Privacy-Aware Ethical AI Framework for Medical Imaging Using Machine Unlearning Techniques
inferred← citeshttps://doi.org/10.1109/tai.2025.3630110openalex-snapshot
FUBA: Backdoor Federated Learning via Federated Unlearning
inferred← citeshttps://doi.org/10.1109/tce.2025.3571956openalex-snapshot
Fuzzified Federated Multi-Task Unlearning for Efficient and Privacy-Preserving Swarm Consumer Electronics Systems
inferred← citeshttps://doi.org/10.1109/tdsc.2024.3476533openalex-snapshot
Guaranteeing Data Privacy in Federated Unlearning With Dynamic User Participation
inferred← citeshttps://doi.org/10.1109/tdsc.2026.3703139openalex-snapshot
Federated Unlearning Activated Backdoor Attacks
inferred← citeshttps://doi.org/10.1109/tifs.2025.3533907openalex-snapshot
Toward Efficient and Certified Recovery From Poisoning Attacks in Federated Learning
inferred← citeshttps://doi.org/10.1109/tifs.2025.3555868openalex-snapshot
Privacy-Preserving Federated Unlearning With Certified Client Removal
inferred← citeshttps://doi.org/10.1109/tifs.2025.3583231openalex-snapshot
FedEditor: Efficient and Effective Federated Unlearning in Cooperative Intelligent Transportation Systems
inferred← citeshttps://doi.org/10.1109/tifs.2026.3666295openalex-snapshot
Model Inversion Attack Against Federated Unlearning
inferred← citeshttps://doi.org/10.1109/tifs.2026.3734781openalex-snapshot
Practical Federated Unlearning: A Target Client-Driven Approach to Model Forgetting
inferred← citeshttps://doi.org/10.1109/tkde.2025.3555328openalex-snapshot
Ten Challenging Problems in Federated Foundation Models
inferred← citeshttps://doi.org/10.1109/tkde.2025.3638174openalex-snapshot
A Survey on Recommendation Unlearning: Fundamentals, Taxonomy, Evaluation, and Open Questions
inferred← citeshttps://doi.org/10.1109/tmc.2025.3570018openalex-snapshot
Mimir: Data-Free Federated Unlearning Through Client-Specific Prompt Generation for Personalized Models
inferred← citeshttps://doi.org/10.1109/tmc.2025.3594851openalex-snapshot
Cer-FeaUn: Certified Feature Unlearning in Vertical Federated Learning
inferred← citeshttps://doi.org/10.1109/tmc.2025.3637775openalex-snapshot
SeFUL: A Selective Federated Unlearning Framework for Client Data Heterogeneity in Intelligent Wireless Networks
inferred← citeshttps://doi.org/10.1109/tmc.2026.3664822openalex-snapshot
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
inferred← citeshttps://doi.org/10.1109/tmc.2026.3666356openalex-snapshot
Federated Unlearning via Distilled Data
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3478334openalex-snapshot
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3609842openalex-snapshot
Syntax-Oriented Shortcut: A Syntax Level Perturbing Algorithm for Preventing Text Data From Being Learned
inferred← citeshttps://doi.org/10.1109/tnse.2025.3597640openalex-snapshot
The Right to Be Forgotten Versus the Need to Be Remembered: Efficient Personalized Federated Unlearning With Optimal Incentives
inferred← citeshttps://doi.org/10.1109/tnse.2025.3637602openalex-snapshot
LVFUS: Vertical Federated Unlearning for Intelligent Network Security via Adaptive Optimizer Switching
inferred← citeshttps://doi.org/10.1109/tnse.2026.3672152openalex-snapshot
Silent-App-Aware Federated Machine Unlearning for Encrypted Network Traffic Classification
inferred← citeshttps://doi.org/10.1109/trustcom66490.2025.00373openalex-snapshot
Proactive Federated Backdoor Unlearning via Two-Phase Optimization and State Replacement
inferred← citeshttps://doi.org/10.1109/tsc.2025.3620758openalex-snapshot
FedHydra: Toward Parameter-Efficient and Backdoor-Resistant Federated Unlearning in Human-Centric Metaverse Service
inferred← citeshttps://doi.org/10.1109/tsc.2026.3685363openalex-snapshot
AdaFUN: Enhancing Federated Unlearning With Adaptive Local Step in Edge Computing
inferred← citeshttps://doi.org/10.1109/tsmc.2025.3613624openalex-snapshot
EPFL: Toward Elastic Personalized Federated Learning With Seamless Client Joining and Quitting
inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00142openalex-snapshot
Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning
inferred← citeshttps://doi.org/10.1109/worldsuas66815.2025.11198923openalex-snapshot
Operative Study of Federated Unlearning among Various Datasets
inferred← citeshttps://doi.org/10.1109/worldsuas66815.2025.11199121openalex-snapshot
Operative Study of Federated Unlearning among Various Datasets
inferred← citeshttps://doi.org/10.1117/12.3035404openalex-snapshot
Erasing memories: implementing client unlearning in medical image analysis
inferred← citeshttps://doi.org/10.1145/3652892.3700764openalex-snapshot
QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation
inferred← citeshttps://doi.org/10.1145/3696410.3714740openalex-snapshot
Unlearning Incentivizes Learning under Privacy Risk
inferred← citeshttps://doi.org/10.1145/3701716.3715494openalex-snapshot
Poisoning Attacks and Defenses to Federated Unlearning
inferred← citeshttps://doi.org/10.1145/3733799.3762971openalex-snapshot
Federated Unlearning using Tree-based Sharding
inferred← citeshttps://doi.org/10.1145/3770855.3817785openalex-snapshot
Rethinking Federated Unlearning via the Lens of Memorization
inferred← citeshttps://doi.org/10.1145/3779299openalex-snapshot
The Many Faces of Data Deletion: On the Significance and Implications of Deleting Data
inferred← citeshttps://doi.org/10.1145/3807451openalex-snapshot
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification
inferred← citeshttps://doi.org/10.1177/10692509241301588openalex-snapshot
Evading model poisoning attacks in federated learning by a long-short-term-memory-based approach
inferred← citeshttps://doi.org/10.1186/s42269-026-01452-5openalex-snapshot
A federated learning-based dual-filtering solution to combat data poisoning attacks in medical image classification
inferred← citeshttps://doi.org/10.2139/ssrn.5553904openalex-snapshot
LaVA: Flexible Machine Unlearning through Learnable Vector Arithmetic
inferred← citeshttps://doi.org/10.2139/ssrn.6389519openalex-snapshot
FedzMuGAN: Zero-Shot Class-Level Machine Unlearning in Federated Settings Using Generative Adversarial Networks
inferred← citeshttps://doi.org/10.2139/ssrn.6538519openalex-snapshot
PriFog: Privacy-Preserving Federated Unlearning for Dynamic IoT Systems
inferred← citeshttps://doi.org/10.2139/ssrn.6965787openalex-snapshot
FedAUCert-Select: Retraining-Reference-Free Auditable Candidate Selection and Verifiable Certificates for Federated Unlearning
inferred← citeshttps://doi.org/10.2139/ssrn.7519314openalex-snapshot
Gradient-Guided Selective Parameter Scaling for Few-Sample Class Unlearning
inferred← citeshttps://doi.org/10.2139/ssrn.7602441openalex-snapshot
Zero-Shot Class Unlearning via Adaptive Proxy Generation and Retain–Forget Subspace Projection
inferred← citeshttps://doi.org/10.23919/cje.2024.00.050openalex-snapshot
FedCSA: Enhancing Federated Unlearning Efficiency Through Adaptive Clustering Under Data Heterogeneity
inferred← citeshttps://doi.org/10.23919/cje.2025.00.105openalex-snapshot
Deconstruct Evaluate and Targeted Intervention Based LLMs Unlearning Algorithm
inferred← citeshttps://doi.org/10.3389/frai.2025.1683960openalex-snapshot
Bringing multi-modal multi-task federated foundation models to education domain: prospects and challenges
inferred← citeshttps://doi.org/10.3390/electronics14152968openalex-snapshot
Federated Unlearning Framework for Digital Twin–Based Aviation Health Monitoring Under Sensor Drift and Data Corruption
inferred← citeshttps://doi.org/10.3390/fi17080335openalex-snapshot
Privacy-Preserving Federated Unlearning with Ontology-Guided Relevance Modeling for Secure Distributed Systems
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