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TailorFed: Group-Fairness-Aware Personalized Federated Learning
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s41666-024-00164-7openalex-snapshot
Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare
inferredcites →https://doi.org/10.1016/j.future.2024.06.040openalex-snapshot
Enforcing group fairness in privacy-preserving Federated Learning
inferredcites →https://doi.org/10.1016/s0169-7439(99)00047-7openalex-snapshot
The Mahalanobis distance
inferredcites →https://doi.org/10.1109/infocom41043.2020.9155494openalex-snapshot
Optimizing Federated Learning on Non-IID Data with Reinforcement Learning
inferredcites →https://doi.org/10.1109/jbhi.2021.3096127openalex-snapshot
Personalized Real-Time Federated Learning for Epileptic Seizure Detection
inferredcites →https://doi.org/10.1109/tce.2024.3357530openalex-snapshot
Federated Learning for Computational Offloading and Resource Management of Vehicular Edge Computing in 6G-V2X Network
inferredcites →https://doi.org/10.1109/tmc.2024.3396218openalex-snapshot
Rethinking Personalized Client Collaboration in Federated Learning
inferredcites →https://doi.org/10.1109/tpami.2024.3418862openalex-snapshot
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
inferredcites →https://doi.org/10.1109/tpds.2022.3225185openalex-snapshot
Personalized Edge Intelligence via Federated Self-Knowledge Distillation
inferredcites →https://doi.org/10.1109/tpds.2024.3413751openalex-snapshot
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds
inferredcites →https://doi.org/10.1109/tsc.2024.3520833openalex-snapshot
An Efficient Replication-Based Aggregation Verification and Correctness Assurance Scheme for Federated Learning
inferredcites →https://doi.org/10.1145/3606017openalex-snapshot
Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff
inferredcites →https://doi.org/10.1145/3664647.3681054openalex-snapshot
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
inferredcites →https://doi.org/10.1287/ijds.2022.0022openalex-snapshot
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v37i6.25911openalex-snapshot
FairFed: Enabling Group Fairness in Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v37i9.26330openalex-snapshot
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v38i10.28971openalex-snapshot
FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v39i16.33839openalex-snapshot
Multimodal Fusion Using Multi-View Domains for Data Heterogeneity in Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v39i20.35460openalex-snapshot
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
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