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A New Methodology for Edge Intelligence Data Quality Evaluation in Idd and Non-Iid Dataset in Federated Learning

https://doi.org/10.2139/ssrn.4821752
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Model optimization techniques in personalized federated learning: A survey
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Deep learning approaches to identify order status in a complex supply chain
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A state-of-the-art survey on solving non-IID data in Federated Learning
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Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review
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ISABELA – A Socially-Aware Human-in-the-Loop Advisor System
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Boosting Big Data Streaming Applications in Clouds With BurstFlow
inferredcites →https://doi.org/10.1109/access.2023.3298704openalex-extracted
Entropy to Mitigate Non-IID Data Problem on Federated Learning for the Edge Intelligence Environment
inferredcites →https://doi.org/10.1109/bigcomp54360.2022.00028openalex-extracted
Federated Learning convergence on IID features via optimized local model parameters
inferredcites →https://doi.org/10.1109/compsac61105.2024.00069openalex-extracted
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer
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Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
inferredcites →https://doi.org/10.1109/cscwd57460.2023.10152675openalex-extracted
FedWNS: Data Distribution-Wise Node Selection in Federated Learning via Reinforcement Learning
inferredcites →https://doi.org/10.1109/dtpi59677.2023.10365414openalex-extracted
A Novel Framework for Distributed and Collaborative Federated Learning based on Blockchain and Smart Contracts
inferredcites →https://doi.org/10.1109/icassp48485.2024.10446892openalex-extracted
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence
inferredcites →https://doi.org/10.1109/ijcnn55064.2022.9892585openalex-extracted
FedPer++: Toward Improved Personalized Federated Learning on Heterogeneous and Imbalanced Data
inferredcites →https://doi.org/10.1109/ipdps53621.2022.00100openalex-extracted
HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning
inferredcites →https://doi.org/10.1109/is3c57901.2023.00095openalex-extracted
Significant Weighted Aggregation Method for Federated Learning in Non-iid Environment
inferredcites →https://doi.org/10.1109/isncc58260.2023.10323682openalex-extracted
Enhancing Global Model Accuracy: Federated Learning for Imbalanced Medical Image Datasets
inferredcites →https://doi.org/10.1109/jiot.2020.2994596openalex-extracted
Toward Communication-Efficient Federated Learning in the Internet of Things With Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2020.3030072openalex-extracted
A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond
inferredcites →https://doi.org/10.1109/jiot.2020.3035389openalex-extracted
Autonomous IoT Device Management Systems: Structured Review and Generalized Cognitive Model
inferredcites →https://doi.org/10.1109/jiot.2021.3095077openalex-extracted
A Survey on Federated Learning for Resource-Constrained IoT Devices
inferredcites →https://doi.org/10.1109/jiot.2022.3144450openalex-extracted
Toward Trustworthy AI: Blockchain-Based Architecture Design for Accountability and Fairness of Federated Learning Systems
inferredcites →https://doi.org/10.1109/msp.2021.3125282openalex-extracted
Federated Learning: A signal processing perspective
inferredcites →https://doi.org/10.1109/mwc.001.1900119openalex-extracted
Reliable Federated Learning for Mobile Networks
inferredcites →https://doi.org/10.1109/ojcs.2020.2992630openalex-extracted
Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues
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DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems
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A Survey on Distributed Machine Learning
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Federated Learning for Healthcare: Systematic Review and Architecture Proposal
inferredcites →https://doi.org/10.1145/3594779openalex-extracted
FeDDkw – Federated Learning with Dynamic Kullback–Leibler-divergence Weight
inferredcites →https://doi.org/10.1145/3603706openalex-extracted
BIGQA: Declarative Big Data Quality Assessment
inferredcites →https://doi.org/10.1155/2022/8342638openalex-extracted
Federated Learning Optimization Algorithm for Automatic Weight Optimal
inferredcites →https://doi.org/10.3390/electronics12071580openalex-extracted
Towards Convergence in Federated Learning via Non-IID Analysis in a Distributed Solar Energy Grid
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The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
inferredcites →https://doi.org/10.48550/arxiv.2303.16066openalex-extracted
Neural Collapse Inspired Federated Learning with Non-iid Data
inferredcites →https://doi.org/10.48550/arxiv.2307.10575openalex-extracted
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inferredcites →https://doi.org/10.48550/arxiv.2309.11378openalex-extracted
Preconditioned Federated Learning
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