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Decentralized Federated Learning with Non-IID Data: Challenges, Trends, and Future Opportunities
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1 of the 97 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s00500-023-08330-6 (notice 2024-08-21).
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Federated learning on non-IID data: A survey
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Differentially private distributed online optimization via push-sum one-point bandit dual averaging
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
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Enhancing Decentralized Federated Learning for Non-IID Data on Heterogeneous Devices
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inferredcites →https://doi.org/10.1145/3565287.3610278openalex-snapshot
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks
inferredcites →https://doi.org/10.1145/3582515.3609522openalex-snapshot
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inferredcites →https://doi.org/10.1145/3589303openalex-snapshot
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inferredcites →https://doi.org/10.1145/3589334.3645425openalex-snapshot
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inferredcites →https://doi.org/10.1145/3589334.3645509openalex-snapshot
Accelerating the Decentralized Federated Learning via Manipulating Edges
inferredcites →https://doi.org/10.1145/3591354openalex-snapshot
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph
inferredcites →https://doi.org/10.1145/3600225openalex-snapshot
DFL: High-Performance Blockchain-Based Federated Learning
inferredcites →https://doi.org/10.1145/3605098.3636000openalex-snapshot
Multi-Confederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
inferredcites →https://doi.org/10.1145/3627106.3627121openalex-snapshot
ABFL: A Blockchain-enabled Robust Framework for Secure and Trustworthy Federated Learning
inferredcites →https://doi.org/10.1145/3630048.3630181openalex-snapshot
Adaptive Decentralized Federated Gossip Learning for Resource-Constrained IoT Devices
inferredcites →https://doi.org/10.1145/3658644.3670307openalex-snapshot
Byzantine-Robust Decentralized Federated Learning
inferredcites →https://doi.org/10.1145/3664476.3664517openalex-snapshot
Subjective Logic-based Decentralized Federated Learning for Non-IID Data
inferredcites →https://doi.org/10.1145/3716870openalex-snapshot
Communication-Efficient Federated Learning for Heterogeneous Clients
inferredcites →https://doi.org/10.1145/3742891openalex-snapshot
Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
inferredcites →https://doi.org/10.1145/41840.41841openalex-snapshot
Epidemic algorithms for replicated database maintenance
inferredcites →https://doi.org/10.1177/1094342005051521openalex-snapshot
Optimization of Collective Communication Operations in MPICH
inferredcites →https://doi.org/10.23919/eusipco54536.2021.9616052openalex-snapshot
Federated Learning with Class Imbalance Reduction
inferredcites →https://doi.org/10.32604/cmc.2023.040731openalex-snapshot
Decentralized Heterogeneous Federal Distillation Learning Based on Blockchain
inferredcites →https://doi.org/10.3390/app12199901openalex-snapshot
Privacy and Security in Federated Learning: A Survey
inferredcites →https://doi.org/10.3390/fi14050138openalex-snapshot
A Fairness-Aware Peer-to-Peer Decentralized Learning Framework with Heterogeneous Devices
inferredcites →https://doi.org/10.3390/math11143162openalex-snapshot
A Decentralized Federated Learning Based on Node Selection and Knowledge Distillation
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Fairness-Based Multi-AP Coordination Using Federated Learning in Wi-Fi 7
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-36587-3_17openalex-snapshot
Bridging Research and Practice in Federated Learning: A Multivocal Review of System-Level Architectures and Processes
inferred← citeshttps://doi.org/10.1007/978-3-032-37976-4_26openalex-snapshot
Fair2Zero: Fairness-Aware Aggregation in Federated Learning
inferred← citeshttps://doi.org/10.1007/s00521-026-12293-8openalex-snapshot
FedA2W: adaptive aggregation with weighted loss proximity for non-IID federated learning
inferred← citeshttps://doi.org/10.1007/s10922-026-10092-zopenalex-snapshot
Federated Detection of Malicious Domain Names in the Internet of Things with Heterogeneous Data Distribution
inferred← citeshttps://doi.org/10.1007/s11227-026-08889-5openalex-snapshot
FedMetaOpt: a comprehensive survey of metaheuristic optimization for federated learning in client selection, resource allocation, and model aggregation
inferred← citeshttps://doi.org/10.1016/j.comcom.2026.108666openalex-snapshot
Communication efficiency in Decentralized Federated Learning: A taxonomy of core components and optimization techniques
inferred← citeshttps://doi.org/10.1016/j.est.2026.124452openalex-snapshot
Lithium-ion battery health prediction under exhibit non-independent and identically distributed data: A systematic review of challenges and federated learning solutions
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133799openalex-snapshot
Separating feature extraction to enhance fine-grained knowledge for cross-domain federated time series forecasting
inferred← citeshttps://doi.org/10.1088/2631-8695/aeab2dopenalex-snapshot
Grey-wolf-optimized perturbation-sensitivity-weighted federated aggregation with dynamic graph attention networks for cross-plant distributed predictive maintenance
inferred← citeshttps://doi.org/10.1109/aiei69164.2026.11497107openalex-snapshot
Noise-Adaptive Bidirectional and Representation-Level Knowledge Distillation for Federated Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/cisat71030.2026.11682486openalex-snapshot
Impact of Differential Privacy Parameter Configuration on Model Performance in Federated Learning: A Case Study on Industrial Surface Defect Recognition
inferred← citeshttps://doi.org/10.1109/iaict71158.2026.11620953openalex-snapshot
TAP-FL: Trust-Aware and Privacy-Preserving Federated Learning under Adversarial and Heterogeneous Settings
inferred← citeshttps://doi.org/10.1109/icce-taiwan71481.2026.11652387openalex-snapshot
ClockFed: A Decentralized Federated Learning Based on Chord Ring with Dominant Class Clustering
inferred← citeshttps://doi.org/10.1109/isctis70043.2026.11572567openalex-snapshot
Three-Layer Defense Mechanism for Decentralized Federated Learning
inferred← citeshttps://doi.org/10.1109/jiot.2026.3676793openalex-snapshot
KI-SL: An Efficient and Secure Knowledge Index-Based Swarm Learning Method of Data Collaboration
inferred← citeshttps://doi.org/10.1109/ojcoms.2026.3733565openalex-snapshot
Federated Learning With Noisy and Imbalanced Data: A Contrastive Reliability-Based Framework for Long-Tail-Aware Client Selection
inferred← citeshttps://doi.org/10.1109/tnse.2026.3730717openalex-snapshot
FedPriv: Personalized Differential Privacy in Federated Learning for Heterogeneous Data
inferred← citeshttps://doi.org/10.3389/frai.2026.1857709openalex-snapshot
FLMMIF: privacy-preserving federated multi-modal medical image fusion
inferred← citeshttps://doi.org/10.3390/app16136565openalex-snapshot
Fusing Localized Network Expertise via Global Meta-Learning
inferred← citeshttps://doi.org/10.3390/computation14070163openalex-snapshot
Federated Edge Intelligence for Climate-Aware Spatiotemporal Road Accident Prediction Using IoT and LoRaWAN Networks
inferred← citeshttps://doi.org/10.3390/fi18090484openalex-snapshot
Understanding Differential Privacy in Decentralized Federated Learning: A Controlled Privacy–Utility Comparison
inferred← citeshttps://doi.org/10.48084/etasr.19213openalex-snapshot
A Feature-Augmented Analytic Federated Architecture for Early Sepsis Detection
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