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A federated learning attack method based on edge collaboration via cloud

https://doi.org/10.1002/spe.3180
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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.

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What this work says

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

inferredcites →https://doi.org/10.1002/int.22992openalex-snapshot
Security of federated learning for cloud‐edge intelligence collaborative computing
inferredcites →https://doi.org/10.1002/spe.2688openalex-snapshot
A secure fog‐based platform for SCADA‐based IoT critical infrastructure
inferredcites →https://doi.org/10.1002/spe.2787openalex-snapshot
IoTSim‐Edge: A simulation framework for modeling the behavior of Internet of Things and edge computing environments
inferredcites →https://doi.org/10.1002/spe.3094openalex-snapshot
Federated learning based multi‐task feature fusion framework for code expressive semantic extraction
inferredcites →https://doi.org/10.1007/978-3-030-58951-6_24openalex-snapshot
Data Poisoning Attacks Against Federated Learning Systems
inferredcites →https://doi.org/10.1016/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.future.2019.05.015openalex-snapshot
Improving fog computing performance via F og-2- F og collaboration
inferredcites →https://doi.org/10.1016/j.iot.2022.100514openalex-snapshot
AI for next generation computing: Emerging trends and future directions
inferredcites →https://doi.org/10.1017/s0269888900006597openalex-snapshot
Uncertainty in artificial intelligence
inferredcites →https://doi.org/10.1109/access.2017.2778504openalex-snapshot
A Survey on the Edge Computing for the Internet of Things
inferredcites →https://doi.org/10.1109/access.2020.3038287openalex-snapshot
EdgeFed: Optimized Federated Learning Based on Edge Computing
inferredcites →https://doi.org/10.1109/cdc40024.2019.9029245openalex-snapshot
Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00383openalex-snapshot
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients
inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot
Edge Computing: Vision and Challenges
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/mce.2021.3051813openalex-snapshot
Collaborative Edge Computing for Smart Villages [Energy and Security]
inferredcites →https://doi.org/10.1109/mwc.005.2100435openalex-snapshot
A Practical Cross-Device Federated Learning Framework over 5G Networks
inferredcites →https://doi.org/10.1109/wcnc51071.2022.9771594openalex-snapshot
Federated Learning Stability Under Byzantine Attacks
inferredcites →https://doi.org/10.1145/3128572.3140451openalex-snapshot
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization
inferredcites →https://doi.org/10.1145/3297280.3297477openalex-snapshot
Towards a seamless coordination of cloud and fog
inferredcites →https://doi.org/10.1145/3298981openalex-snapshot
Federated Machine Learning
inferredcites →https://doi.org/10.1145/3398020openalex-snapshot
Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications
inferredcites →https://doi.org/10.14722/ndss.2021.24434openalex-snapshot
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
inferredcites →https://doi.org/10.14722/ndss.2021.24498openalex-snapshot
Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses for Federated Learning
inferredcites →https://doi.org/10.1609/aaai.v29i1.9569openalex-snapshot
Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners
inferredcites →https://doi.org/10.5120/6367-8773openalex-snapshot
Energy Efficient Protocols for Wireless Sensor Networks: A Survey and Approach
inferredcites →https://doi.org/10.5281/zenodo.2548778openalex-snapshot
AggregaThor: Byzantine Machine Learning via Robust Gradient Aggregation

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.70153openalex-snapshot
Privacy Preserving Federated Reinforcement Imitation Learning Framework With Robust Aggregation for Cloud‐Based Domestic Robots
inferred← citeshttps://doi.org/10.1002/spe.3337openalex-snapshot
Special issue on collaborative edge computing for secure and scalable Internet of Things
inferred← citeshttps://doi.org/10.1007/978-981-99-9785-5_7openalex-snapshot
DFaP: Data Filtering and Purification Against Backdoor Attacks
inferred← citeshttps://doi.org/10.1007/s10586-024-04686-yopenalex-snapshot
Edge AI: A Taxonomy, Systematic Review and Future Directions
inferred← citeshttps://doi.org/10.1016/j.iot.2022.100674openalex-snapshot
AI-based fog and edge computing: A systematic review, taxonomy and future directions
inferred← citeshttps://doi.org/10.1016/j.iotcps.2023.02.004openalex-snapshot
Edge AI: A survey
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.112965openalex-snapshot
A survey on Deep Learning in Edge–Cloud Collaboration: Model partitioning, privacy preservation, and prospects
inferred← citeshttps://doi.org/10.1016/j.teler.2024.100116openalex-snapshot
Modern computing: Vision and challenges
inferred← citeshttps://doi.org/10.1109/tce.2025.3532676openalex-snapshot
Blockchain Empowered Secure Federated Learning for Consumer IoT Applications in Cloud-Edge Collaborative Environment
inferred← citeshttps://doi.org/10.1177/18761364251343316openalex-snapshot
Enhancing thermal comfort and sustainability in building energy management through edge machine learning-enabled smart controllers
inferred← citeshttps://doi.org/10.1186/s13677-026-00881-xopenalex-snapshot
A framework for the predictive monitoring and data quality assurance in the cloud continuum
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