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A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions

https://doi.org/10.1145/3727643
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inferredcites →https://doi.org/10.1002/int.22818openalex-snapshot
Privacy‐preserving federated learning based on multi‐key homomorphic encryption
inferredcites →https://doi.org/10.1002/widm.1211openalex-snapshot
Enterprise data breach: causes, challenges, prevention, and future directions
inferredcites →https://doi.org/10.1002/widm.1443openalex-snapshot
A survey on federated learning in data mining
inferredcites →https://doi.org/10.1007/978-3-030-30952-7openalex-snapshot
Web Information Systems and Applications
inferredcites →https://doi.org/10.1007/978-3-030-58951-6openalex-snapshot
Computer Security – ESORICS 2020
inferredcites →https://doi.org/10.1007/978-3-030-58951-6_24openalex-snapshot
Data Poisoning Attacks Against Federated Learning Systems
inferredcites →https://doi.org/10.1007/978-3-030-63076-8_6openalex-snapshot
Towards Byzantine-Resilient Federated Learning via Group-Wise Robust Aggregation
inferredcites →https://doi.org/10.1007/978-3-030-85899-5_2openalex-snapshot
FedMDR: Federated Model Distillation with Robust Aggregation
inferredcites →https://doi.org/10.1007/978-3-030-86261-9_6openalex-snapshot
Byzantine Resilient Aggregation in Distributed Reinforcement Learning
inferredcites →https://doi.org/10.1007/978-3-030-87571-8_21openalex-snapshot
Chain-AAFL: Chained Adversarial-Aware Federated Learning Framework
inferredcites →https://doi.org/10.1007/978-3-030-88418-5_22openalex-snapshot
CONTRA: Defending Against Poisoning Attacks in Federated Learning
inferredcites →https://doi.org/10.1007/978-3-030-88418-5_23openalex-snapshot
Romoa: Robust Model Aggregation for the Resistance of Federated Learning to Model Poisoning Attacks
inferredcites →https://doi.org/10.1007/978-3-030-88418-5_24openalex-snapshot
$$\mathsf {FLOD}$$: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority
inferredcites →https://doi.org/10.1007/978-3-030-90019-9_12openalex-snapshot
ToFi: An Algorithm to Defend Against Byzantine Attacks in Federated Learning
inferredcites →https://doi.org/10.1007/978-3-030-96896-0_5openalex-snapshot
Personalized, Robust Federated Learning with Fed+
inferredcites →https://doi.org/10.1007/978-3-031-10989-8_4openalex-snapshot
PPBR-FL: A Privacy-Preserving and Byzantine-Robust Federated Learning System
inferredcites →https://doi.org/10.1007/978-3-031-13448-7_12openalex-snapshot
An Analysis of Byzantine-Tolerant Aggregation Mechanisms on Model Poisoning in Federated Learning
inferredcites →https://doi.org/10.1007/978-3-031-16452-1_64openalex-snapshot
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
inferredcites →https://doi.org/10.1007/978-3-031-17143-7_20openalex-snapshot
FLMJR: Improving Robustness of Federated Learning via Model Stability
inferredcites →https://doi.org/10.1007/978-3-031-17143-7_22openalex-snapshot
Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
inferredcites →https://doi.org/10.1007/978-3-031-17146-8openalex-snapshot
Computer Security – ESORICS 2022
inferredcites →https://doi.org/10.1007/978-3-031-25201-3_21openalex-snapshot
RoFL: A Robust Federated Learning Scheme Against Malicious Attacks
inferredcites →https://doi.org/10.1007/978-3-031-43999-5openalex-snapshot
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
inferredcites →https://doi.org/10.1007/978-3-642-14883-5openalex-snapshot
Distributed Computing and Artificial Intelligence
inferredcites →https://doi.org/10.1007/978-3-642-55864-1openalex-snapshot
Linear Regression
inferredcites →https://doi.org/10.1007/978-981-19-7242-3_10openalex-snapshot
FedBC: An Efficient and Privacy-Preserving Federated Consensus Scheme
inferredcites →https://doi.org/10.1007/s10462-024-10766-7openalex-snapshot
A multifaceted survey on privacy preservation of federated learning: progress, challenges, and opportunities
inferredcites →https://doi.org/10.1007/s10462-024-10796-1openalex-snapshot
Anomaly detection and defense techniques in federated learning: a comprehensive review
inferredcites →https://doi.org/10.1007/s10586-022-03949-wopenalex-snapshot
Robust Federated Learning for execution time-based device model identification under label-flipping attack
inferredcites →https://doi.org/10.1007/s10586-024-04629-7openalex-snapshot
A survey on privacy-preserving federated learning against poisoning attacks
inferredcites →https://doi.org/10.1007/s11036-020-01700-6openalex-snapshot
A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System
inferredcites →https://doi.org/10.1007/s11036-024-02316-wopenalex-snapshot
Distributionally Robust Federated Learning for Mobile Edge Networks
inferredcites →https://doi.org/10.1007/s11276-024-03799-xopenalex-snapshot
Byzantine detection for federated learning under highly non-IID data and majority corruptions
inferredcites →https://doi.org/10.1007/s11432-020-3251-9openalex-snapshot
Robust federated learning for edge-intelligent networks
inferredcites →https://doi.org/10.1007/s11704-021-0598-zopenalex-snapshot
Challenges and future directions of secure federated learning: a survey
inferredcites →https://doi.org/10.1007/s11704-021-1067-4openalex-snapshot
Defense against local model poisoning attacks to byzantine-robust federated learning
inferredcites →https://doi.org/10.1007/s11704-023-2283-xopenalex-snapshot
FedDAA: a robust federated learning framework to protect privacy and defend against adversarial attack
inferredcites →https://doi.org/10.1007/s11704-023-3142-5openalex-snapshot
BVDFed: Byzantine-resilient and verifiable aggregation for differentially private federated learning
inferredcites →https://doi.org/10.1007/s11704-024-3767-zopenalex-snapshot
FedTop: a constraint-loosed federated learning aggregation method against poisoning attack
inferredcites →https://doi.org/10.1007/s11831-019-09344-wopenalex-snapshot
A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning
inferredcites →https://doi.org/10.1007/s12243-022-00929-4openalex-snapshot
Mitigation of a poisoning attack in federated learning by using historical distance detection
inferredcites →https://doi.org/10.1007/s13042-022-01647-yopenalex-snapshot
A survey on federated learning: challenges and applications
inferredcites →https://doi.org/10.1007/s40747-020-00247-zopenalex-snapshot
From federated learning to federated neural architecture search: a survey
inferredcites →https://doi.org/10.1007/s41666-020-00082-4openalex-snapshot
Federated Learning for Healthcare Informatics
inferredcites →https://doi.org/10.1016/j.adhoc.2024.103517openalex-snapshot
TICPS: A trustworthy collaborative intrusion detection framework for industrial cyber–physical systems
inferredcites →https://doi.org/10.1016/j.asej.2019.08.010openalex-snapshot
Industrial Revolution 4.0 in the construction industry: Challenges and opportunities for stakeholders
inferredcites →https://doi.org/10.1016/j.asoc.2024.111764openalex-snapshot
Decentralized and robust privacy-preserving model using blockchain-enabled Federated Deep Learning in intelligent enterprises
inferredcites →https://doi.org/10.1016/j.cie.2020.106854openalex-snapshot
A review of applications in federated learning
inferredcites →https://doi.org/10.1016/j.comnet.2023.110081openalex-snapshot
NetShield: An in-network architecture against byzantine failures in distributed deep learning
inferredcites →https://doi.org/10.1016/j.comnet.2024.110730openalex-snapshot
Byzantine-robust Federated Learning via Cosine Similarity Aggregation
inferredcites →https://doi.org/10.1016/j.compeleceng.2023.108900openalex-snapshot
A reputation-aware hierarchical aggregation framework for federated learning
inferredcites →https://doi.org/10.1016/j.cose.2022.102827openalex-snapshot
Making federated learning robust to adversarial attacks by learning data and model association
inferredcites →https://doi.org/10.1016/j.cose.2023.103319openalex-snapshot
Enhancing federated learning robustness in adversarial environment through clustering Non-IID features
inferredcites →https://doi.org/10.1016/j.cose.2023.103406openalex-snapshot
MUD-PQFed: Towards Malicious User Detection on model corruption in Privacy-preserving Quantized Federated learning
inferredcites →https://doi.org/10.1016/j.cose.2023.103414openalex-snapshot
SCFL: Mitigating backdoor attacks in federated learning based on SVD and clustering
inferredcites →https://doi.org/10.1016/j.cose.2023.103474openalex-snapshot
FedSIGN: A sign-based federated learning framework with privacy and robustness guarantees
inferredcites →https://doi.org/10.1016/j.cose.2023.103562openalex-snapshot
VPPFL: A verifiable privacy-preserving federated learning scheme against poisoning attacks
inferredcites →https://doi.org/10.1016/j.cosrev.2020.100341openalex-snapshot
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
inferredcites →https://doi.org/10.1016/j.cosrev.2021.100379openalex-snapshot
A survey on deep learning and its applications
inferredcites →https://doi.org/10.1016/j.csi.2021.103561openalex-snapshot
Privacy-preserving Byzantine-robust federated learning
inferredcites →https://doi.org/10.1016/j.dcan.2022.05.020openalex-snapshot
A blockchain based privacy-preserving federated learning scheme for Internet of Vehicles
inferredcites →https://doi.org/10.1016/j.dcan.2022.12.001openalex-snapshot
Data complexity-based batch sanitization method against poison in distributed learning
inferredcites →https://doi.org/10.1016/j.ejco.2022.100038openalex-snapshot
A simplified convergence theory for Byzantine resilient stochastic gradient descent
inferredcites →https://doi.org/10.1016/j.eswa.2022.119036openalex-snapshot
Privacy-Preserving and Traceable Federated Learning for data sharing in industrial IoT applications
inferredcites →https://doi.org/10.1016/j.eswa.2023.122210openalex-snapshot
Privacy-preserving and Byzantine-robust Federated Learning Framework using Permissioned Blockchain
inferredcites →https://doi.org/10.1016/j.future.2022.03.003openalex-snapshot
Dynamic defense against byzantine poisoning attacks in federated learning
inferredcites →https://doi.org/10.1016/j.future.2022.04.010openalex-snapshot
SecFedNIDS: Robust defense for poisoning attack against federated learning-based network intrusion detection system
inferredcites →https://doi.org/10.1016/j.future.2022.05.003openalex-snapshot
A state-of-the-art survey on solving non-IID data in Federated Learning
inferredcites →https://doi.org/10.1016/j.future.2023.05.002openalex-snapshot
Defending Byzantine attacks in ensemble federated learning: A reputation-based phishing approach
inferredcites →https://doi.org/10.1016/j.future.2023.10.005openalex-snapshot
Personalized federated learning-based intrusion detection system: Poisoning attack and defense
inferredcites →https://doi.org/10.1016/j.future.2023.11.015openalex-snapshot
Robust federated learning with voting and scaling
inferredcites →https://doi.org/10.1016/j.future.2024.04.009openalex-snapshot
Enhancing federated learning robustness through randomization and mixture
inferredcites →https://doi.org/10.1016/j.future.2024.05.017openalex-snapshot
Byzantine-robust federated learning with ensemble incentive mechanism
inferredcites →https://doi.org/10.1016/j.future.2024.05.049openalex-snapshot
HDHRFL: A hierarchical robust federated learning framework for dual-heterogeneous and noisy clients
inferredcites →https://doi.org/10.1016/j.future.2024.06.030openalex-snapshot
GANFAT: Robust federated adversarial learning with label distribution skew
inferredcites →https://doi.org/10.1016/j.future.2024.06.044openalex-snapshot
Dynamic gradient filtering in federated learning with Byzantine failure robustness
inferredcites →https://doi.org/10.1016/j.heliyon.2024.e25655openalex-snapshot
Deep learning vs. robust federal learning for distinguishing adrenal metastases from benign lesions with multi-phase CT images
inferredcites →https://doi.org/10.1016/j.ijpe.2020.107776openalex-snapshot
Industry 4.0 technologies assessment: A sustainability perspective
inferredcites →https://doi.org/10.1016/j.ins.2022.10.113openalex-snapshot
RTGA: Robust ternary gradients aggregation for federated learning
inferredcites →https://doi.org/10.1016/j.ins.2022.10.120openalex-snapshot
Byzantine-robust variance-reduced federated learning over distributed non-i.i.d. data
inferredcites →https://doi.org/10.1016/j.ins.2023.119784openalex-snapshot
rFedFW: Secure and trustable aggregation scheme for Byzantine-robust federated learning in Internet of Things
inferredcites →https://doi.org/10.1016/j.ins.2023.119808openalex-snapshot
High-dimensional M-estimation for Byzantine-robust decentralized learning
inferredcites →https://doi.org/10.1016/j.ins.2024.120475openalex-snapshot
Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning
inferredcites →https://doi.org/10.1016/j.ins.2024.121274openalex-snapshot
FedNor: A robust training framework for federated learning based on normal aggregation
inferredcites →https://doi.org/10.1016/j.iot.2023.100875openalex-snapshot
DeMAC: Towards detecting model poisoning attacks in federated learning system
inferredcites →https://doi.org/10.1016/j.iot.2023.100947openalex-snapshot
Federated learning vulnerabilities, threats and defenses: A systematic review and future directions
inferredcites →https://doi.org/10.1016/j.iot.2023.100956openalex-snapshot
Dynamic behavior assessment protocol for secure Decentralized Federated Learning
inferredcites →https://doi.org/10.1016/j.jbi.2019.103291openalex-snapshot
Patient clustering improves efficiency of federated machine learning to predict mortality and hospital stay time using distributed electronic medical records
inferredcites →https://doi.org/10.1016/j.jmsy.2021.10.006openalex-snapshot
Industry 4.0 and Industry 5.0—Inception, conception and perception
inferredcites →https://doi.org/10.1016/j.knosys.2021.106775openalex-snapshot
A survey on federated learning
inferredcites →https://doi.org/10.1016/j.knosys.2022.108588openalex-snapshot
Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification
inferredcites →https://doi.org/10.1016/j.knosys.2023.110763openalex-snapshot
Trustiness-based hierarchical decentralized federated learning
inferredcites →https://doi.org/10.1016/j.knosys.2024.111851openalex-snapshot
SF-CABD: Secure Byzantine fault tolerance federated learning on Non-IID data
inferredcites →https://doi.org/10.1016/j.neucom.2021.07.098openalex-snapshot
Federated learning on non-IID data: A survey
inferredcites →https://doi.org/10.1016/j.neunet.2023.11.019openalex-snapshot
LFighter: Defending against the label-flipping attack in federated learning
inferredcites →https://doi.org/10.1016/j.patcog.2023.109635openalex-snapshot
Robust federated learning under statistical heterogeneity via Hessian spectral decomposition
inferredcites →https://doi.org/10.1016/j.procs.2022.11.292openalex-snapshot
Optimization Strategies for Client Drift in Federated Learning: A review
inferredcites →https://doi.org/10.1016/j.procs.2023.09.021openalex-snapshot
PolyFLAG_SVM: a Polymorphic Federated Learning Aggregation of Gradients Support Vector Machines Framework
inferredcites →https://doi.org/10.1016/j.procs.2023.10.264openalex-snapshot
Preventing Image Data Poisoning Attacks in Federated Machine Learning by an Encrypted Verification Key
inferredcites →https://doi.org/10.1016/j.seta.2022.102987openalex-snapshot
Federated learning for smart cities: A comprehensive survey
inferredcites →https://doi.org/10.1016/j.simpat.2024.102987openalex-snapshot
Fully decentralized privacy-enabled Federated Learning system based on Byzantine-resilient consensus protocol
inferredcites →https://doi.org/10.1016/j.sysarc.2019.101635openalex-snapshot
A survey of techniques for optimizing deep learning on GPUs
inferredcites →https://doi.org/10.1016/j.tele.2020.101431openalex-snapshot
Data privacy against innovation or against discrimination?: The case of the California Consumer Privacy Act (CCPA)
inferredcites →https://doi.org/10.1080/00207543.2021.1956675openalex-snapshot
Machine learning in manufacturing and industry 4.0 applications
inferredcites →https://doi.org/10.1080/13600834.2019.1573501openalex-snapshot
The European Union General Data Protection Regulation: What It Is And What It Means
inferredcites →https://doi.org/10.1103/revmodphys.91.045002openalex-snapshot
Machine learning and the physical sciences
inferredcites →https://doi.org/10.1108/ijpccopenalex-snapshot
International Journal of Pervasive Computing and Communications
inferredcites →https://doi.org/10.1108/ijpcc-03-2022-0113openalex-snapshot
RETRACTED: Federated learning algorithm based on matrix mapping for data privacy over edge computing
inferredcites →https://doi.org/10.1109/access.2019.2912200openalex-snapshot
Review of Deep Learning Algorithms and Architectures
inferredcites →https://doi.org/10.1109/access.2023.3291677openalex-snapshot
Online Decentralized Multi-Agents Meta-Learning With Byzantine Resiliency
inferredcites →https://doi.org/10.1109/access.2024.3426534openalex-snapshot
Adaptive Selection of Loss Function for Federated Learning Clients Under Adversarial Attacks
inferredcites →https://doi.org/10.1109/bibm58861.2023.10385849openalex-snapshot
RobustHealthFL: Robust Strategy Against Malicious Clients in Non-iid Healthcare Federated Learning*
inferredcites →https://doi.org/10.1109/bigdia53151.2021.9619731openalex-snapshot
Robust Federated Learning with Adaptable Learning Rate
inferredcites →https://doi.org/10.1109/cdc56724.2024.10886134openalex-snapshot
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare
inferredcites →https://doi.org/10.1109/cei60616.2023.10527834openalex-snapshot
Robust Federated Learning Based on Chained Self-Paced Learning
inferredcites →https://doi.org/10.1109/cluster52292.2023.00014openalex-snapshot
FedGuard: Selective Parameter Aggregation for Poisoning Attack Mitigation in Federated Learning
inferredcites →https://doi.org/10.1109/cns59707.2023.10288938openalex-snapshot
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy
inferredcites →https://doi.org/10.1109/comsnets53615.2022.9668376openalex-snapshot
FedFM: Towards a Robust Federated Learning Approach For Fault Mitigation at the Edge Nodes
inferredcites →https://doi.org/10.1109/comsnets59351.2024.10427404openalex-snapshot
PraaKrum: A Practical Byzantine-Resilient Federated Learning Algorithm
inferredcites →https://doi.org/10.1109/comst.2020.2986024openalex-snapshot
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/comst.2021.3075439openalex-snapshot
Federated Learning for Internet of Things: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/comst.2021.3090430openalex-snapshot
Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00983openalex-snapshot
Robust Federated Learning with Noisy and Heterogeneous Clients
inferredcites →https://doi.org/10.1109/dicta60407.2023.00020openalex-snapshot
Byzantine-Resilient Federated Learning Leveraging Confidence Score to Identify Retinal Disease
inferredcites →https://doi.org/10.1109/dsc59305.2023.00055openalex-snapshot
FedValidate: A Robust Federated Learning Framework Based on Client-Side Validation
inferredcites →https://doi.org/10.1109/globecom48099.2022.10000981openalex-snapshot
FedAegis: Edge-Based Byzantine-Robust Federated Learning for Heterogeneous Data
inferredcites →https://doi.org/10.1109/globecom54140.2023.10437272openalex-snapshot
Robust Federated Learning with Parameter Classification and Weighted Aggregation Against Noisy Labels
inferredcites →https://doi.org/10.1109/globecom54140.2023.10437426openalex-snapshot
Efficient and Privacy-Preserving Byzantine-Robust Federated Learning
inferredcites →https://doi.org/10.1109/globecom54140.2023.10437587openalex-snapshot
AFL: Attention-Based Byzantine-Robust Federated Learning with Vector Filter
inferredcites →https://doi.org/10.1109/globecom54140.2023.10437675openalex-snapshot
BFLMeta: Blockchain-Empowered Metaverse with Byzantine-Robust Federated Learning
inferredcites →https://doi.org/10.1109/globecom54140.2023.10437878openalex-snapshot
FedChallenger: Challenge-Response-Based Defence for Federated Learning Against Byzantine Attacks
inferredcites →https://doi.org/10.1109/icassp43922.2022.9746746openalex-snapshot
Byzantine-Robust Aggregation with Gradient Difference Compression and Stochastic Variance Reduction for Federated Learning
inferredcites →https://doi.org/10.1109/icc45041.2023.10279255openalex-snapshot
FedCom: Byzantine-Robust Federated Learning Using Data Commitment
inferredcites →https://doi.org/10.1109/iccc57788.2023.10233385openalex-snapshot
A Scheme for Robust Federated Learning with Privacy-preserving Based on Krum AGR
inferredcites →https://doi.org/10.1109/icccr54399.2022.9790094openalex-snapshot
Defending against Poisoning Attack in Federated Learning Using Isolated Forest
inferredcites →https://doi.org/10.1109/icccworkshops57813.2023.10233811openalex-snapshot
Robust Federated Learning For Image Semantic Transmission Under Byzantine Attacks
inferredcites →https://doi.org/10.1109/iccworkshops53468.2022.9814495openalex-snapshot
Best Effort Voting Power Control for Byzantine-resilient Federated Learning Over the Air
inferredcites →https://doi.org/10.1109/icdcs54860.2022.00086openalex-snapshot
Distributionally Robust Federated Learning for Differentially Private Data
inferredcites →https://doi.org/10.1109/icdcs54860.2022.00120openalex-snapshot
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering
inferredcites →https://doi.org/10.1109/icde60146.2024.00076openalex-snapshot
RobFL: Robust Federated Learning via Feature Center Separation and Malicious Center Detection
inferredcites →https://doi.org/10.1109/icdmw60847.2023.00133openalex-snapshot
FedNAT: Byzantine-robust Federated Learning through Activation-based Attention Transfer
inferredcites →https://doi.org/10.1109/icnc57223.2023.10074494openalex-snapshot
Byzantine-Resilient Federated Learning With Differential Privacy Using Online Mirror Descent
inferredcites →https://doi.org/10.1109/icpads51040.2020.00081openalex-snapshot
Robust Federated Learning Approach for Travel Mode Identification from Non-IID GPS Trajectories
inferredcites →https://doi.org/10.1109/icpads53394.2021.00052openalex-snapshot
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates
inferredcites →https://doi.org/10.1109/icpads56603.2022.00046openalex-snapshot
FLForest: Byzantine-robust Federated Learning through Isolated Forest
inferredcites →https://doi.org/10.1109/icpr56361.2022.9956655openalex-snapshot
Enhancing Robustness in Federated Learning by Supervised Anomaly Detection
inferredcites →https://doi.org/10.1109/ijcnn54540.2023.10191556openalex-snapshot
FedRRA: Reputation-Aware Robust Federated Learning against Poisoning Attacks
inferredcites →https://doi.org/10.1109/ijcnn55064.2022.9892039openalex-snapshot
A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning
inferredcites →https://doi.org/10.1109/infocomwkshps54753.2022.9798217openalex-snapshot
WMDefense: Using Watermark to Defense Byzantine Attacks in Federated Learning
inferredcites →https://doi.org/10.1109/infocomwkshps57453.2023.10225922openalex-snapshot
Robust Federated Learning against Backdoor Attackers
inferredcites →https://doi.org/10.1109/inocon60754.2024.10511589openalex-snapshot
Gradient Guard: Robust Federated Learning using Saliency Maps
inferredcites →https://doi.org/10.1109/iwcmc61514.2024.10592438openalex-snapshot
Byzantine-Robust Federated Learning Based on Dynamic Gradient Filtering
inferredcites →https://doi.org/10.1109/jas.2023.123618openalex-snapshot
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
inferredcites →https://doi.org/10.1109/jiot.2020.3023126openalex-snapshot
PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems
inferredcites →https://doi.org/10.1109/jiot.2021.3110097openalex-snapshot
LTSM: Lightweight and Trusted Sharing Mechanism of IoT Data in Smart City
inferredcites →https://doi.org/10.1109/jiot.2022.3161943openalex-snapshot
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT
inferredcites →https://doi.org/10.1109/jiot.2022.3230452openalex-snapshot
Robust Federated Learning Over Noisy Fading Channels
inferredcites →https://doi.org/10.1109/jiot.2023.3266347openalex-snapshot
Collaborative Byzantine Resilient Federated Learning
inferredcites →https://doi.org/10.1109/jiot.2023.3311690openalex-snapshot
Incentive Design for Heterogeneous Client Selection: A Robust Federated Learning Approach
inferredcites →https://doi.org/10.1109/jiot.2023.3315226openalex-snapshot
PBFL: Privacy-Preserving and Byzantine-Robust Federated-Learning-Empowered Industry 4.0
inferredcites →https://doi.org/10.1109/jiot.2024.3394168openalex-snapshot
PSFL: Ensuring Data Privacy and Model Security for Federated Learning
inferredcites →https://doi.org/10.1109/jsac.2021.3118346openalex-snapshot
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
inferredcites →https://doi.org/10.1109/jsait.2024.3381869openalex-snapshot
Learning Robust to Distributional Uncertainties and Adversarial Data
inferredcites →https://doi.org/10.1109/lsp.2021.3134893openalex-snapshot
Robust Federated Averaging via Outlier Pruning
inferredcites →https://doi.org/10.1109/meco62516.2024.10577941openalex-snapshot
A Federated Adversarial Learning Approach for Robust Spectrum Sensing
inferredcites →https://doi.org/10.1109/mis.2020.2988525openalex-snapshot
A Secure Federated Transfer Learning Framework
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/mis.2022.3151466openalex-snapshot
Robust Federated Learning With Noisy Labels
inferredcites →https://doi.org/10.1109/mlsp55214.2022.9943401openalex-snapshot
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inferredcites →https://doi.org/10.1109/mnet.006.2200651openalex-snapshot
Communication-Efficient and Byzantine-Robust Federated Learning for Mobile Edge Computing Networks
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Towards Robust Federated Learning via Logits Calibration on Non-IID Data
inferredcites →https://doi.org/10.1109/secon55815.2022.9918550openalex-snapshot
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inferredcites →https://doi.org/10.1109/secon58729.2023.10287422openalex-snapshot
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inferredcites →https://doi.org/10.1109/smartnets61466.2024.10577749openalex-snapshot
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inferredcites →https://doi.org/10.1109/sp46214.2022.9833647openalex-snapshot
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning
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/spawc51858.2021.9593221openalex-snapshot
Robust Federated Learning in Wireless Channels with Transmission Outage and Quantization Errors
inferredcites →https://doi.org/10.1109/spw59333.2023.00011openalex-snapshot
On the Pitfalls of Security Evaluation of Robust Federated Learning
inferredcites →https://doi.org/10.1109/spw59333.2023.00012openalex-snapshot
SafeFL: MPC-friendly Framework for Private and Robust Federated Learning
inferredcites →https://doi.org/10.1109/srds60354.2023.00013openalex-snapshot
Defending against Poisoning Attacks in Federated Learning from a Spatial-temporal Perspective
inferredcites →https://doi.org/10.1109/tbdata.2023.3237397openalex-snapshot
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning
inferredcites →https://doi.org/10.1109/tc.2023.3257510openalex-snapshot
Byzantine-Resilient Federated Learning at Edge
inferredcites →https://doi.org/10.1109/tc.2024.3404102openalex-snapshot
BSR-FL: An Efficient Byzantine-Robust Privacy-Preserving Federated Learning Framework
inferredcites →https://doi.org/10.1109/tcbb.2023.3243932openalex-snapshot
Robust and Privacy-Preserving Decentralized Deep Federated Learning Training: Focusing on Digital Healthcare Applications
inferredcites →https://doi.org/10.1109/tcomm.2020.2979149openalex-snapshot
Robust Federated Learning With Noisy Communication
inferredcites →https://doi.org/10.1109/tcss.2024.3361465openalex-snapshot
Toward Byzantine-Robust Distributed Learning for Sentiment Classification on Social Media Platform
inferredcites →https://doi.org/10.1109/tcsvt.2021.3116976openalex-snapshot
Byzantine-Resilient Decentralized Stochastic Gradient Descent
inferredcites →https://doi.org/10.1109/tdsc.2021.3093711openalex-snapshot
SEAR: Secure and Efficient Aggregation for Byzantine-Robust Federated Learning
inferredcites →https://doi.org/10.1109/tdsc.2023.3264697openalex-snapshot
Privacy-Preserving and Byzantine-Robust Federated Learning
inferredcites →https://doi.org/10.1109/tdsc.2024.3353317openalex-snapshot
Sine: Similarity is Not Enough for Mitigating Local Model Poisoning Attacks in Federated Learning
inferredcites →https://doi.org/10.1109/tdsc.2024.3362534openalex-snapshot
Siren+: Robust Federated Learning With Proactive Alarming and Differential Privacy
inferredcites →https://doi.org/10.1109/tdsc.2024.3372634openalex-snapshot
FedDMC: Efficient and Robust Federated Learning via Detecting Malicious Clients
inferredcites →https://doi.org/10.1109/tifs.2022.3196274openalex-snapshot
Privacy-Preserving Byzantine-Robust Federated Learning via Blockchain Systems
inferredcites →https://doi.org/10.1109/tifs.2022.3212174openalex-snapshot
FLCert: Provably Secure Federated Learning Against Poisoning Attacks
inferredcites →https://doi.org/10.1109/tifs.2023.3249568openalex-snapshot
Data Quality Detection Mechanism Against Label Flipping Attacks in Federated Learning
inferredcites →https://doi.org/10.1109/tifs.2023.3333555openalex-snapshot
AgrAmplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification
inferredcites →https://doi.org/10.1109/tii.2019.2942179openalex-snapshot
Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics
inferredcites →https://doi.org/10.1109/tii.2020.3043458openalex-snapshot
Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT
inferredcites →https://doi.org/10.1109/tii.2021.3088057openalex-snapshot
Federated Transfer Learning Based Cross-Domain Prediction for Smart Manufacturing
inferredcites →https://doi.org/10.1109/tii.2021.3098010openalex-snapshot
A Federated Learning Based Privacy-Preserving Smart Healthcare System
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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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