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Bias Mitigation in Federated Learning for Edge Computing

https://doi.org/10.1145/3631455
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/widm.1356openalex-snapshot
Bias in data‐driven artificial intelligence systems—An introductory survey
inferredcites →https://doi.org/10.1007/978-3-030-63076-8_14openalex-snapshot
Collaborative Fairness in Federated Learning
inferredcites →https://doi.org/10.1007/978-3-642-33460-3openalex-snapshot
Machine Learning and Knowledge Discovery in Databases
inferredcites →https://doi.org/10.1007/s10898-012-9951-yopenalex-snapshot
Derivative-free optimization: a review of algorithms and comparison of software implementations
inferredcites →https://doi.org/10.1007/s11265-021-01715-6openalex-snapshot
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators
inferredcites →https://doi.org/10.1007/s12553-016-0148-0openalex-snapshot
An IoT approach for integration of computational intelligence and wearable sensors for Parkinson’s disease diagnosis and monitoring
inferredcites →https://doi.org/10.1016/0925-2312(91)90023-5openalex-snapshot
Multilayer perceptrons for classification and regression
inferredcites →https://doi.org/10.1016/j.seta.2022.102987openalex-snapshot
Federated learning for smart cities: A comprehensive survey
inferredcites →https://doi.org/10.1023/a:1008202821328openalex-snapshot
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
inferredcites →https://doi.org/10.1056/nejmc2029240openalex-snapshot
Racial Bias in Pulse Oximetry Measurement
inferredcites →https://doi.org/10.1109/bigdata50022.2020.9378043openalex-snapshot
FairFL: A Fair Federated Learning Approach to Reducing Demographic Bias in Privacy-Sensitive Classification Models
inferredcites →https://doi.org/10.1109/icassp35589.2019openalex-snapshot
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
inferredcites →https://doi.org/10.1109/iccmc.2019.8819850openalex-snapshot
Automated Criminal Identification by Face Recognition using Open Computer Vision Classifiers
inferredcites →https://doi.org/10.1109/mis.2020.2988604openalex-snapshot
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare
inferredcites →https://doi.org/10.1109/tevc.2010.2059031openalex-snapshot
Differential Evolution: A Survey of the State-of-the-Art
inferredcites →https://doi.org/10.1109/tnse.2022.3169117openalex-snapshot
Federated Learning Meets Multi-Objective Optimization
inferredcites →https://doi.org/10.1137/1.9781611976700.21openalex-snapshot
Fairness-aware Agnostic Federated Learning
inferredcites →https://doi.org/10.1137/1118101openalex-snapshot
Calculation of the Wasserstein Distance Between Probability Distributions on the Line
inferredcites →https://doi.org/10.1145/2090236.2090255openalex-snapshot
Fairness through awareness
inferredcites →https://doi.org/10.1145/2214091openalex-snapshot
Proceedings of the 50th annual conference on Computers and People Research
inferredcites →https://doi.org/10.1145/2783258.2783311openalex-snapshot
Certifying and Removing Disparate Impact
inferredcites →https://doi.org/10.1145/3375627.3375840openalex-snapshot
A Fairness-aware Incentive Scheme for Federated Learning
inferredcites →https://doi.org/10.1145/3501296openalex-snapshot
Federated Learning for Smart Healthcare: A Survey
inferredcites →https://doi.org/10.1145/3528535.3565255openalex-snapshot
Shielding federated learning systems against inference attacks with ARM TrustZone
inferredcites →https://doi.org/10.1145/3580795openalex-snapshot
Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition
inferredcites →https://doi.org/10.1155/2023/5510329openalex-snapshot
Fast and Accurate Deep Leakage from Gradients Based on Wasserstein Distance
inferredcites →https://doi.org/10.1155/2023/5560416openalex-snapshot
Flipit Game Deception Strategy Selection Method Based on Deep Reinforcement Learning
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/10.1561/2200000083openalex-snapshot
Advances and Open Problems in Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v37i6.25911openalex-snapshot
FairFed: Enabling Group Fairness in Federated Learning
inferredcites →https://doi.org/10.2307/2998573openalex-snapshot
The Probability Weighting Function
inferredcites →https://doi.org/10.3389/fbuil.2020.00102openalex-snapshot
A Comparative Study of Differential Evolution Variants in Constrained Structural Optimization
inferredcites →https://doi.org/10.48550/arxiv.1610.02413openalex-snapshot
Equality of Opportunity in Supervised Learning
inferredcites →https://doi.org/10.48550/arxiv.2108.08435openalex-snapshot
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning
inferredcites →https://doi.org/10.5555/1120017.1716566openalex-snapshot
Genetic algorithms for modelling and optimisation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s00521-025-11815-0openalex-snapshot
A survey on multimodal federated learning
inferred← citeshttps://doi.org/10.1007/s10462-025-11475-5openalex-snapshot
A survey on group fairness in federated learning: challenges, taxonomy of solutions and directions for future research
inferred← citeshttps://doi.org/10.1007/s41060-026-01173-yopenalex-snapshot
Federated and privacy-preserving learning in neurological imaging: a systematic review of frameworks, applications, and evidence gaps
inferred← citeshttps://doi.org/10.1016/b978-0-443-26720-8.00006-2openalex-snapshot
Ethical considerations
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126418openalex-snapshot
SFFL: Self-aware fairness federated learning framework for heterogeneous data distributions
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113392openalex-snapshot
F3 : Fair Federated Learning Framework with adaptive regularization
inferred← citeshttps://doi.org/10.1109/access.2025.3556781openalex-snapshot
Responsible AI Framework for Autonomous Vehicles: Addressing Bias and Fairness Risks
inferred← citeshttps://doi.org/10.1109/access.2025.3586943openalex-snapshot
Federated Learning for All: A Reinforcement Learning-Based Approach for Ensuring Fairness in Client Selection
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825389openalex-snapshot
Discovering Communities With Clustered Federated Learning
inferred← citeshttps://doi.org/10.1109/dsn69566.2026.00080openalex-snapshot
Automated Data Error Cleaning Impact on Federated Learning Utility and Fairness
inferred← citeshttps://doi.org/10.1109/icdcsw63273.2025.00124openalex-snapshot
Benchmarking Mutual Information-based Loss Functions in Federated Learning
inferred← citeshttps://doi.org/10.1109/tnse.2026.3730717openalex-snapshot
FedPriv: Personalized Differential Privacy in Federated Learning for Heterogeneous Data
inferred← citeshttps://doi.org/10.1109/tnsre.2026.3674102openalex-snapshot
Federated Learning in Offline and Online EMG Decoding: A Privacy and Performance Perspective
inferred← citeshttps://doi.org/10.1145/3735125openalex-snapshot
Bias in Federated Learning: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1145/3770702openalex-snapshot
Clinical Standards and Proximate Futures: Participatory Design Futuring of Diabetes Technologies with an Under-Resourced Community
inferred← citeshttps://doi.org/10.1145/3796223openalex-snapshot
(Un)fair Devices: Moving Beyond AI Accuracy in Personal Sensing
inferred← citeshttps://doi.org/10.1145/3809485openalex-snapshot
Federated Learning Applications in Healthcare Informatics: A Comprehensive Review
inferred← citeshttps://doi.org/10.1145/3810202openalex-snapshot
SIGMA-ASL: Sensor-Integrated Multimodal Dataset for Sign Language Recognition
inferred← citeshttps://doi.org/10.1145/3810232openalex-snapshot
CurvFed: Curvature-Aligned Federated Learning for Fairness without Demographics
inferred← citeshttps://doi.org/10.18280/isi.290605openalex-snapshot
Bias in Federated Learning: Factors, Effects, Mitigations, and Open Issues
inferred← citeshttps://doi.org/10.2196/80178openalex-snapshot
Integration of Federated Learning and Blockchain in Health Care: Tutorial on Medical Data, Architectures, Privacy, Security, and Regulatory Compliance
inferred← citeshttps://doi.org/10.3390/info16010014openalex-snapshot
A Trusted Federated Learning Method Based on Consortium Blockchain
inferred← citeshttps://doi.org/10.36227/techrxiv.171340632.25905526/v1openalex-snapshot
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial
inferred← citeshttps://doi.org/10.4018/979-8-3373-3912-2.ch013openalex-snapshot
Strategic Integration of Large Language Models for Business Transformation
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