On the public citation graph

Blockchain-Based Distributed Federated Learning in Smart Grid

https://doi.org/10.3390/math10234499
0 signed · 98 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-1-4842-2766-4openalex-snapshot
Deep Learning with Python
inferredcites →https://doi.org/10.1007/978-3-030-30429-4openalex-snapshot
Business Process Management: Blockchain and Central and Eastern Europe Forum
inferredcites →https://doi.org/10.1007/978-981-13-1768-2openalex-snapshot
Smart Grids and Their Communication Systems
inferredcites →https://doi.org/10.1007/978-981-16-0171-2_52openalex-snapshot
An Investigation into Smart Contract Deployment on Ethereum Platform Using Web3.js and Solidity Using Blockchain
inferredcites →https://doi.org/10.1007/978-981-16-7167-8_50openalex-snapshot
Mitigating Poisoning Attacks in Federated Learning
inferredcites →https://doi.org/10.1007/s00500-021-06496-5openalex-snapshot
Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey
inferredcites →https://doi.org/10.1007/s00779-020-01417-zopenalex-snapshot
A secure and extensible blockchain-based data provenance framework for the Internet of Things
inferredcites →https://doi.org/10.1007/s12273-021-0871-yopenalex-snapshot
Federated learning-based short-term building energy consumption prediction method for solving the data silos problem
inferredcites →https://doi.org/10.1016/j.apenergy.2021.116435openalex-snapshot
Intelligent demand side management for optimal energy scheduling of grid connected microgrids
inferredcites →https://doi.org/10.1016/j.apenergy.2021.116652openalex-snapshot
Development of a multi-granularity energy forecasting toolkit for demand response baseline calculation
inferredcites →https://doi.org/10.1016/j.apenergy.2022.118595openalex-snapshot
A low-carbon planning method for joint regional-district multi-energy systems: From the perspective of privacy protection
inferredcites →https://doi.org/10.1016/j.apenergy.2022.119915openalex-snapshot
Privacy-preserving federated learning for residential short-term load forecasting
inferredcites →https://doi.org/10.1016/j.bcra.2022.100067openalex-snapshot
A survey on blockchain technology and its security
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.comcom.2021.02.014openalex-snapshot
Privacy preserving distributed machine learning with federated learning
inferredcites →https://doi.org/10.1016/j.compbiomed.2021.104716openalex-snapshot
Privacy preserving distributed learning classifiers – Sequential learning with small sets of data
inferredcites →https://doi.org/10.1016/j.egyr.2021.08.118openalex-snapshot
Blockchain based decentralized local energy flexibility market
inferredcites →https://doi.org/10.1016/j.hcc.2021.100008openalex-snapshot
A survey of federated learning for edge computing: Research problems and solutions
inferredcites →https://doi.org/10.1016/j.ijepes.2021.107669openalex-snapshot
Distributed load forecasting using smart meter data: Federated learning with Recurrent Neural Networks
inferredcites →https://doi.org/10.1016/j.iot.2021.100470openalex-snapshot
Federated learning with hyperparameter-based clustering for electrical load forecasting
inferredcites →https://doi.org/10.1016/j.jclepro.2021.127304openalex-snapshot
Futuristic decentralized clean energy networks in view of inclusive-economic growth and sustainable society
inferredcites →https://doi.org/10.1016/j.jup.2021.101188openalex-snapshot
Data privacy and residential smart meters: Comparative analysis and harmonization potential
inferredcites →https://doi.org/10.1016/j.knosys.2021.106775openalex-snapshot
A survey on federated learning
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.procs.2022.04.004openalex-snapshot
Blockchain and Federated Learning Based Bidding Applications in Power Markets
inferredcites →https://doi.org/10.1016/j.rser.2017.04.095openalex-snapshot
A review of data-driven building energy consumption prediction studies
inferredcites →https://doi.org/10.1016/j.rser.2017.06.006openalex-snapshot
Stochastic modelling of renewable energy sources from operators' point-of-view: A survey
inferredcites →https://doi.org/10.1038/s41586-021-03583-3openalex-snapshot
Swarm Learning for decentralized and confidential clinical machine learning
inferredcites →https://doi.org/10.1109/access.2021.3059106openalex-snapshot
Blockchain-Based Decentralized Virtual Power Plants of Small Prosumers
inferredcites →https://doi.org/10.1109/access.2021.3071269openalex-snapshot
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
inferredcites →https://doi.org/10.1109/access.2022.3174259openalex-snapshot
Smart Grid Security and Privacy: From Conventional to Machine Learning Issues (Threats and Countermeasures)
inferredcites →https://doi.org/10.1109/appeec53445.2022.10072290openalex-snapshot
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers
inferredcites →https://doi.org/10.1109/globecom38437.2019.9013587openalex-snapshot
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
inferredcites →https://doi.org/10.1109/icc40277.2020.9148937openalex-snapshot
Electrical Load Forecasting Using Edge Computing and Federated Learning
inferredcites →https://doi.org/10.1109/iccp.2018.8516617openalex-snapshot
Evaluating Forecasting Techniques for Integrating Household Energy Prosumers into Smart Grids
inferredcites →https://doi.org/10.1109/ictc51749.2021.9441499openalex-snapshot
A Systematic Literature Review of Blockchain-based Federated Learning: Architectures, Applications and Issues
inferredcites →https://doi.org/10.1109/ieeeconf44664.2019.9049023openalex-snapshot
FedDANE: A Federated Newton-Type Method
inferredcites →https://doi.org/10.1109/jiot.2021.3128646openalex-snapshot
Data Poisoning Attacks on Federated Machine Learning
inferredcites →https://doi.org/10.1109/jsen.2022.3153338openalex-snapshot
Federated Learning-Based Collaborative Authentication Protocol for Shared Data in Social IoV
inferredcites →https://doi.org/10.1109/tii.2021.3095506openalex-snapshot
Secure and Efficient Federated Learning for Smart Grid With Edge-Cloud Collaboration
inferredcites →https://doi.org/10.1109/tii.2021.3126883openalex-snapshot
Privacy-Preserving Serverless Computing Using Federated Learning for Smart Grids
inferredcites →https://doi.org/10.1109/tits.2022.3152156openalex-snapshot
DisBezant: Secure and Robust Federated Learning Against Byzantine Attack in IoT-Enabled MTS
inferredcites →https://doi.org/10.1109/tnse.2022.3153519openalex-snapshot
EPPDA: An Efficient Privacy-Preserving Data Aggregation Federated Learning Scheme
inferredcites →https://doi.org/10.1109/tpds.2020.3040981openalex-snapshot
Mutual Information Driven Federated Learning
inferredcites →https://doi.org/10.1109/tsc.2022.3187962openalex-snapshot
Federated Learning via Disentangled Information Bottleneck
inferredcites →https://doi.org/10.1109/tsg.2016.2607422openalex-snapshot
A Resilient and Privacy-Preserving Energy Management Strategy for Networked Microgrids
inferredcites →https://doi.org/10.1109/tsg.2021.3066577openalex-snapshot
Electricity Consumer Characteristics Identification: A Federated Learning Approach
inferredcites →https://doi.org/10.1109/twc.2020.3037554openalex-snapshot
Energy Efficient Federated Learning Over Wireless Communication Networks
inferredcites →https://doi.org/10.1145/3524104openalex-snapshot
Blockchain-enabled Federated Learning: A Survey
inferredcites →https://doi.org/10.1145/3592800openalex-snapshot
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks
inferredcites →https://doi.org/10.1186/s13677-022-00294-6openalex-snapshot
BVFLEMR: an integrated federated learning and blockchain technology for cloud-based medical records recommendation system
inferredcites →https://doi.org/10.1561/2200000016openalex-snapshot
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
inferredcites →https://doi.org/10.3233/jcs-210051openalex-snapshot
Secure protocols for cumulative reward maximization in stochastic multi-armed bandits
inferredcites →https://doi.org/10.3390/app12115346openalex-snapshot
Hybrid Deep Neural Network Model for Multi-Step Energy Prediction of Prosumers
inferredcites →https://doi.org/10.3390/en14051285openalex-snapshot
Customer Privacy Concerns as a Barrier to Sharing Data about Energy Use in Smart Local Energy Systems: A Rapid Realist Review
inferredcites →https://doi.org/10.3390/en15031088openalex-snapshot
The Legal Complexities of Processing and Protecting Personal Data in the Electricity Sector
inferredcites →https://doi.org/10.3390/en15145259openalex-snapshot
Demand Response Impact Evaluation: A Review of Methods for Estimating the Customer Baseline Load
inferredcites →https://doi.org/10.3390/en15218079openalex-snapshot
Machine Learning for Short-Term Load Forecasting in Smart Grids
inferredcites →https://doi.org/10.3390/s18010162openalex-snapshot
Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids
inferredcites →https://doi.org/10.3390/s22145274openalex-snapshot
Blockchain for Modern Applications: A Survey
inferredcites →https://doi.org/10.3390/su12041417openalex-snapshot
Energy Flexibility Prediction for Data Center Engagement in Demand Response Programs
inferredcites →https://doi.org/10.48550/arxiv.1312.7853openalex-snapshot
Communication Efficient Distributed Optimization using an Approximate Newton-type Method

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4671146openalex-extracted
Fedwoa: A Federated Learning Model with the Whale Optimization Algorithm for Renewable Energy Prediction
inferred← citeshttps://doi.org/10.1007/978-3-031-82073-1_10openalex-snapshot
Healthchain - Bidimensional Blockchain for Collaborative and Secure Deep Learning in Healthcare
inferred← citeshttps://doi.org/10.1007/978-3-031-85628-0_37openalex-snapshot
Utilizing Federated Learning and SHAP for Predictive Analysis in Smart Grid Security
inferred← citeshttps://doi.org/10.1007/978-3-032-28573-7_25openalex-snapshot
Enhanced Anomaly Detection in Smart Grid Metering with a Two-Stage Autoencoder and XGBoost Framework
inferred← citeshttps://doi.org/10.1016/j.apenergy.2025.127109openalex-snapshot
Artificial intelligence and machine learning for distributed energy resource management systems: Applications, frameworks, and future directions
inferred← citeshttps://doi.org/10.1016/j.comcom.2023.12.042openalex-snapshot
Decentralized federated learning based on blockchain: concepts, framework, and challenges
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112735openalex-snapshot
A secure model-lifecycle layer for federated and gossip learning in smart grid attack detection
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110259openalex-snapshot
A federated learning model with the whale optimization algorithm for renewable energy prediction
inferred← citeshttps://doi.org/10.1016/j.cosrev.2024.100617openalex-snapshot
Deep learning for intelligent demand response and smart grids: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.ecmx.2026.101772openalex-snapshot
Adaptive and intelligent control architectures for smart microgrid Systems: A comprehensive review
inferred← citeshttps://doi.org/10.1016/j.egyr.2026.109702openalex-snapshot
Federated deep learning and digital-twin optimization for cyber-resilient smart nano grid energy management
inferred← citeshttps://doi.org/10.1016/j.ijcce.2026.02.001openalex-snapshot
A dynamic and secure smart grid data aggregation scheme
inferred← citeshttps://doi.org/10.1016/j.iot.2025.101782openalex-snapshot
Privacy-preserving energy analytics in smart offices via container-based Federated Learning
inferred← citeshttps://doi.org/10.1016/j.tranpol.2025.07.013openalex-snapshot
Electricity demand forecasting in green ports: Modelling and future research directions
inferred← citeshttps://doi.org/10.1080/23742917.2026.2718740openalex-snapshot
Verifiable and privacy-preserving hierarchical federated learning for real-time clinical digital twins
inferred← citeshttps://doi.org/10.1109/access.2024.3377661openalex-snapshot
Energy Demand Forecasting for Electric Vehicles Using Blockchain-Based Federated Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3435968openalex-snapshot
Unlocking a Promising Future: Integrating Blockchain Technology and FL-IoT in the Journey to 6G
inferred← citeshttps://doi.org/10.1109/access.2025.3613231openalex-snapshot
Energy Management Systems for Maritime Microgrids: A Comprehensive Review of Intelligent Optimization Strategies
inferred← citeshttps://doi.org/10.1109/ciacon70148.2026.11689612openalex-snapshot
HQFL-DR: Hybrid Quantum-Federated Learning for Multi-Objective Demand Response in Decentralized Green Energy Communities
inferred← citeshttps://doi.org/10.1109/icbiti65527.2025.11500976openalex-snapshot
Federated Learning for Distributed Energy Management in Smart Grids
inferred← citeshttps://doi.org/10.1109/icnsoc66817.2025.00053openalex-snapshot
XGBoost-Driven Demand Forecasting for Electric Vehicles Using Blockchain Network
inferred← citeshttps://doi.org/10.1109/icodt269104.2025.11360714openalex-snapshot
Federated Learning-Driven Cyber-Physical Security Framework for AI- Powered Smart Grids in Renewable-Integrated Urban Infrastructures
inferred← citeshttps://doi.org/10.1109/icscds65426.2025.11166982openalex-snapshot
Energy Demand Forecasting for EVs using Block Chain based Data Integrity
inferred← citeshttps://doi.org/10.1109/idaacs68557.2025.11322091openalex-snapshot
The Architecture of a Virtual Intelligent Energy System for Sustainable Traction Grids
inferred← citeshttps://doi.org/10.1109/iicc69623.2026.11582737openalex-snapshot
A Blockchain-Enabled Federated Learning Framework for Privacy-Preserving Healthcare Data Management
inferred← citeshttps://doi.org/10.1109/iscs69371.2025.11386430openalex-snapshot
Federated Learning and Blockchain Integrated Frame-work for Energy Management
inferred← citeshttps://doi.org/10.1109/isgtmiddleeast65737.2025.11314448openalex-snapshot
Blockchain-Enabled Federated Learning for Proactive Cyber-Physical Threat Mitigation in AI-Driven Renewable Smart Grids
inferred← citeshttps://doi.org/10.1117/12.3009373openalex-snapshot
Towards trustworthy federated learning: a blockchain-based architecture for auditing, traceability, and verification
inferred← citeshttps://doi.org/10.1145/3669754.3669814openalex-snapshot
A Non-centralized Federated Learning Architecture to Obtain Accurate Privacy Preserving Results
inferred← citeshttps://doi.org/10.1371/journal.pone.0342454openalex-snapshot
Towards a cybersecure and privacy enhanced smart grid: A blockchain enabled federated learning framework
inferred← citeshttps://doi.org/10.3389/fenrg.2023.1340639openalex-snapshot
Decentralized asynchronous adaptive federated learning algorithm for securely prediction of distributed power data
inferred← citeshttps://doi.org/10.3390/automation7050138openalex-snapshot
Towards Agentic Virtual Power Plants for Grid-Interactive Energy Communities: A Review-Informed Reference Architecture for Operational Flexibility Intelligence
inferred← citeshttps://doi.org/10.3390/computers13120317openalex-snapshot
Dynamic Cohort Formation with Hierarchical Blockchain Using GDP for Enhanced FL
inferred← citeshttps://doi.org/10.3390/math14162965openalex-snapshot
Research on Inbound Logistics Demand Forecasting of Auto Parts Integrating Real-Time Production Plan Feedback and Error Compensation
inferred← citeshttps://doi.org/10.3390/smartcities7010028openalex-snapshot
Edge Offloading in Smart Grid
inferred← citeshttps://doi.org/10.3390/technologies13090412openalex-snapshot
Redefining Transactions, Trust, and Transparency in the Energy Market from Blockchain-Driven Technology
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.