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Blockchained On-Device Federated Learning

https://doi.org/10.1109/lcomm.2019.2921755
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What this work says

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

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On Security Analysis of Proof-of-Elapsed-Time (PoET)
inferredcites →https://doi.org/10.1109/icc.2018.8422485openalex-snapshot
Analysis of the Communication Traffic for Blockchain Synchronization of IoT Devices
inferredcites →https://doi.org/10.1109/icc.2018.8422743openalex-snapshot
Optimal Auction for Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach
inferredcites →https://doi.org/10.1109/mnet.2018.1700258openalex-snapshot
Wireless Access for Ultra-Reliable Low-Latency Communication: Principles and Building Blocks
inferredcites →https://doi.org/10.1109/p2p.2013.6688704openalex-snapshot
Information propagation in the Bitcoin network
inferredcites →https://doi.org/10.1109/tcomm.2019.2956472openalex-snapshot
Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications
inferredcites →https://doi.org/10.2139/ssrn.4993270openalex-snapshot
Bitcoin: A Peer-to-Peer Electronic Cash System
inferredcites →https://doi.org/10.23919/wiopt.2017.7959944openalex-snapshot
Revisiting frequency reuse towards supporting ultra-reliable ubiquitous-rate communication
inferredcites →https://doi.org/10.46647/ijetms.2022.v06i05.052openalex-snapshot
Federated Learning: Collaborative Machine Learning without Centralized Training Data
inferredcites →https://doi.org/10.48550/arxiv.1602.05629openalex-snapshot
Communication-Efficient Learning of Deep Networks from Decentralized Data
inferredcites →https://doi.org/10.48550/arxiv.1610.02527openalex-snapshot
Federated Optimization: Distributed Machine Learning for On-Device Intelligence

What points at this work

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

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Efficient and Privacy Preserving Group Signature for Federated Learning
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Afl-Dag: Asynchronous Federated Learning with Directed Acyclic Graph-Based Blockchain in Edge Computing
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Blockchain-Enabled Federated Learning Approach for Vehicular Networks
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Blockchain-Based Distributed Federated Learning Using Proof of Accuracy Consensus
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Integration of MEC and Blockchain
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Applications of Federated Learning in Computing Technologies
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Improved Federated Learning Model Against Poisoning Attacks by Using Iterative Blockchain Validators
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Analytical Study of Decentralized and Secure Architectures for Deploying Federated Learning
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A Comparative Study of Decentralized and Distributed Architectures for Deploying Federated Learning Models
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Decentralized Gradient Verification in Federated Learning Via Recursive zk-SNARKs
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Scalable and Communication-Efficient Decentralized Federated Edge Learning with Multi-blockchain Framework
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AI Integrated Blockchain Technology for Secure Health Care—Consent-Based Secured Federated Transfer Learning for Predicting COVID-19 on Wearable Devices
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ByzTierFL: A Tiered Approach to Byzantine Robust and Decentralized Federated Learning
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An Uncertainty-Aware Auction Mechanism for Federated Learning
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FedQL: Q-Learning Guided Aggregation for Federated Learning
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CLB-BAFL: Critical Learning Behaviour Verification Mechanism for Blockchain-Based Asynchronous Federated Learning
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BlockLearning: A Modular Framework for Blockchain-Based Vertical Federated Learning
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A Distributed, Penetrative and All-Dimensional Supervision Architecture for Consortium Blockchain
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An Efficient Decentralized Federated Learning Framework Based on Directed Acyclic Graph
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A Hierarchical Asynchronous Federated Learning Privacy-Preserving Framework for IoVs
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Blockchain-based multi-institution collaborative credit evaluation modeling method
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The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies
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TPE-BFL: Training Parameter Encryption scheme for Blockchain based Federated Learning system
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EDVFL: An evaluable and decentralized privacy-preserving VFL for secure data sharing in ATM
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Incentive mechanism design in blockchain-based hierarchical federated learning over edge clouds
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Blockchain-Enabled federated learning framework with cantor filtering and reed–Solomon coding for secure healthcare IoT systems
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Blockchain based semi-Decentralized personalized federated learning
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A trust-aware blockchain-assisted framework for federated intrusion detection in software-defined networks
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LoRaWAN-based federated learning for the internet of vehicles: a comprehensive survey of architectures, algorithms, and open challenges
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Intelligent contracts: Making smart contracts smart for blockchain intelligence
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Blockchain and homomorphic encryption based privacy-preserving model aggregation for medical images
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Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges
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Edge intelligence secure frameworks: Current state and future challenges
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Leveraging federated learning for smart grids: A comprehensive survey
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Lattice based distributed threshold additive homomorphic encryption with application in federated learning
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Blockchain-based fog radio access networks: Architecture, key technologies, and challenges
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A blockchain-based audit approach for encrypted data in federated learning
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A survey on blockchain-enabled federated learning and its prospects with digital twin
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DB-FL: DAG blockchain-enabled generalized federated dropout learning
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CMBA-FL: Communication-mitigated and blockchain-assisted federated learning for traffic flow predictions
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Dataset of round-level federated learning and layer-2 blockchain overhead from ten raspberry Pi edge clients
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BFL-SE: Blockchain federated learning with secure and effective weight-assignment model aggregation
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Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review
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General context and relevant public datasets available for improving pathways in Paediatric Cancer applying Artificial Intelligence. A review
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An explainable federated learning and blockchain-based secure credit modeling method
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Data-Driven Learning for Data Rights, Data Pricing, and Privacy Computing
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Train a central traffic prediction model using local data: A spatio-temporal network based on federated learning
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Reliable federated learning based on delayed gradient aggregation for intelligent connected vehicles
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Asynchronous federated learning with directed acyclic graph-based blockchain in edge computing: Overview, design, and challenges
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Privacy-preserving and Byzantine-robust Federated Learning Framework using Permissioned Blockchain
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A data trading scheme based on blockchain and game theory in federated learning
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A blockchain empowered federated differentiable search index framework for secure information collaboration
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A survey on security and privacy of federated learning
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LAFED: A lightweight authentication mechanism for blockchain-enabled federated learning system
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Efficient and privacy-preserving group signature for federated learning
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Anonymous Federated Learning via Named-Data Networking
inferred← citeshttps://doi.org/10.1016/j.future.2025.108092openalex-snapshot
A lightweight blockchain-based defense method for federated self-supervised learning
inferred← citeshttps://doi.org/10.1016/j.future.2025.108216openalex-snapshot
Federated learning with privacy protection and incentive mechanisms based on edge computing
inferred← citeshttps://doi.org/10.1016/j.future.2026.108473openalex-snapshot
Energy-efficient serverless federated learning with blockchain-enhanced optimized raft consensus
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A hierarchical federated learning trusted collaboration and auditable mechanism based on DAG–consortium chain hybrid ledger
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Secure verifiable aggregation for blockchain-based federated averaging
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A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine
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Secure and decentralized federated learning framework with non-IID data based on blockchain
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An efficient parallel machine learning-based blockchain framework
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BrainyEdge: An AI-enabled framework for IoT edge computing
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PureFL: Channel-partitioned federated learning with cross-channel knowledge distillation on PureChain
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A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120330openalex-snapshot
An incentive mechanism design for federated learning with multiple task publishers by contract theory approach
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ModularFed: Leveraging modularity in federated learning frameworks
inferred← citeshttps://doi.org/10.1016/j.iot.2023.100966openalex-snapshot
FedChain-Hunter: A reliable and privacy-preserving aggregation for federated threat hunting framework in SDN-based IIoT
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Metaverse for wireless systems: Architecture, advances, standardization, and open challenges
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UMetaBE-DPPML: Urban metaverse & blockchain-enabled decentralised privacy-preserving machine learning verification and authentication with metaverse immersive devices
inferred← citeshttps://doi.org/10.1016/j.ipm.2022.103061openalex-snapshot
Federated learning review: Fundamentals, enabling technologies, and future applications
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