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Federated Learning with Label-Masking Distillation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.future.2020.10.007openalex-snapshot
A survey on security and privacy of federated learning
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00396openalex-snapshot
Revisiting Knowledge Distillation via Label Smoothing Regularization
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00993openalex-snapshot
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
inferredcites →https://doi.org/10.1109/iccv48922.2021.01480openalex-snapshot
Ensemble Attention Distillation for Privacy-Preserving Federated Learning
inferredcites →https://doi.org/10.1109/msp.2020.2975749openalex-snapshot
Federated Learning: Challenges, Methods, and Future Directions
inferredcites →https://doi.org/10.1109/tbdata.2022.3189703openalex-snapshot
Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data
inferredcites →https://doi.org/10.1109/tpds.2020.3046250openalex-snapshot
FedSCR: Structure-based Communication Reduction for Federated Learning
inferredcites →https://doi.org/10.1145/3394171.3413814openalex-snapshot
Performance Optimization of Federated Person Re-identification via Benchmark Analysis
inferredcites →https://doi.org/10.1145/3394171.3413923openalex-snapshot
InvisibleFL: Federated Learning over Non-Informative Intermediate Updates against Multimedia Privacy Leakages
inferredcites →https://doi.org/10.1145/3474085.3475182openalex-snapshot
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification
inferredcites →https://doi.org/10.1145/3501296openalex-snapshot
Federated Learning for Smart Healthcare: A Survey
inferredcites →https://doi.org/10.1145/3501814openalex-snapshot
Dynamic-Aware Federated Learning for Face Forgery Video Detection
inferredcites →https://doi.org/10.1561/2200000083openalex-snapshot
Advances and Open Problems in Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v36i11.21620openalex-snapshot
Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract)
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.165openalex-snapshot
FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction
inferredcites →https://doi.org/10.21552/edpl/2016/3/4openalex-snapshot
How the GDPR Will Change the World
inferredcites →https://doi.org/10.24963/ijcai.2022/399openalex-snapshot
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-snapshot
Communication-Efficient Learning of Deep Networks from Decentralized Data
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.5383089openalex-extracted
Federated Learning for Cross-Hospital Collaborative Research: A Comprehensive Survey of Applications, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1007/978-981-92-1462-4_29openalex-snapshot
FedCKD: A Knowledge Distillation Approach to Cross-Client Learning in Federated Learning with Label-Exclusive Datasets
inferred← citeshttps://doi.org/10.1007/978-981-92-3450-9_15openalex-snapshot
FedTri-B: Triple-Balanced Federated Learning Under Label Skew
inferred← citeshttps://doi.org/10.1016/j.future.2024.06.030openalex-snapshot
GANFAT: Robust federated adversarial learning with label distribution skew
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104269openalex-snapshot
Personalized federated learning with personalized knowledge distillation based on local empirical risk
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116282openalex-snapshot
Federated learning based on partial label masking weighted distillation
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107440openalex-snapshot
Boosting semi-supervised federated learning by effectively exploiting server-side knowledge and client-side unconfident samples
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888891openalex-snapshot
Enhancing Federated Knowledge Distillation in Heterogeneous and Non-IID Scenarios
inferred← citeshttps://doi.org/10.1109/icme59968.2025.11209918openalex-snapshot
Mitigating Knowledge Forgetting by Generative Knowledge Replay and Forgetting-aware Aggregation in Semi-Supervised Federated Learning
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11227886openalex-snapshot
Gradient-Aware Participation for Energy Reduction in Federated Learning with Extreme Label Skew
inferred← citeshttps://doi.org/10.1109/jiot.2026.3657114openalex-snapshot
FedHSD: Federated Hierarchical Self-Distillation for Personalized Edge-Cloud AIoT
inferred← citeshttps://doi.org/10.1109/newcas64648.2025.11107023openalex-snapshot
Adaptive Client Participation in Budget-Constrained Federated Learning with Extreme Label Skew
inferred← citeshttps://doi.org/10.1109/tai.2025.3609745openalex-snapshot
Mitigating Label Noise in Federated Learning With Regularized Features and Robust Loss
inferred← citeshttps://doi.org/10.1109/tcsi.2026.3663070openalex-snapshot
FedAGF: Adaptive Concurrency via Gradient Feedback for Mitigating Extreme Label Skew in Budget-Constrained Federated Learning
inferred← citeshttps://doi.org/10.1109/tmc.2025.3560083openalex-snapshot
Federated Domain-Independent Prototype Learning With Alignments of Representation and Parameter Spaces for Feature Shift
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3639578openalex-snapshot
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning
inferred← citeshttps://doi.org/10.1109/tnse.2025.3610626openalex-snapshot
Federated Hybrid Training and Self-Adversarial Distillation: Towards Robust Edge Networks
inferred← citeshttps://doi.org/10.1109/tnse.2026.3679013openalex-snapshot
Dataset Distillation-Based Hybrid Federated Learning on Non-IID Data
inferred← citeshttps://doi.org/10.1142/s0218126625501658openalex-snapshot
CyclicFL: Efficient Federated Learning with Cyclic Model Pre-training
inferred← citeshttps://doi.org/10.1145/3664647.3680715openalex-snapshot
One-shot-but-not-degraded Federated Learning
inferred← citeshttps://doi.org/10.1145/3664647.3681480openalex-snapshot
Federated Morozov Regularization for Shortcut Learning in Privacy Preserving Learning with Watermarked Image Data
inferred← citeshttps://doi.org/10.1145/3774904.3792281openalex-snapshot
Prototype Augmentation-based Edge-end Heterogeneous Collaborative Learning
inferred← citeshttps://doi.org/10.1145/3774904.3792386openalex-snapshot
FedAKD: Federated Adaptive Knowledge Distillation via Global Knowledge Calibration and Decoupling
inferred← citeshttps://doi.org/10.4218/etrij.2025-0028openalex-snapshot
SmartFed: Federated learning with collaborative optimization of the model algorithm and data enhancement
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