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Cost-Constrained Incentive Mechanism for Federated Learning

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inferredcites →https://doi.org/10.1001/jamanetworkopen.2022.33946openalex-snapshot
Randomized Clinical Trials of Machine Learning Interventions in Health Care
inferredcites →https://doi.org/10.1016/j.compbiomed.2023.107195openalex-snapshot
Boosted federated learning based on improved Particle Swarm Optimization for healthcare IoT devices
inferredcites →https://doi.org/10.1016/j.compbiomed.2023.107394openalex-snapshot
Shortest path core-selection incentive for federated learning platform with medical applications
inferredcites →https://doi.org/10.1016/j.dcan.2022.04.005openalex-snapshot
A dynamic incentive and reputation mechanism for energy-efficient federated learning in 6G
inferredcites →https://doi.org/10.1016/j.ins.2023.03.033openalex-snapshot
Federated learning in smart cities: Privacy and security survey
inferredcites →https://doi.org/10.1016/j.ipm.2022.103061openalex-snapshot
Federated learning review: Fundamentals, enabling technologies, and future applications
inferredcites →https://doi.org/10.1109/infocom.2019.8737464openalex-snapshot
Federated Learning over Wireless Networks: Optimization Model Design and Analysis
inferredcites →https://doi.org/10.1109/infocom.2019.8737638openalex-snapshot
Recommending Paths: Follow or Not Follow?
inferredcites →https://doi.org/10.1109/jiot.2019.2940820openalex-snapshot
Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory
inferredcites →https://doi.org/10.1109/jiot.2020.2967772openalex-snapshot
A Learning-Based Incentive Mechanism for Federated Learning
inferredcites →https://doi.org/10.1109/lcomm.2019.2921755openalex-snapshot
Blockchained On-Device Federated Learning
inferredcites →https://doi.org/10.1109/mnet.001.1800498openalex-snapshot
Crowdtraining: Architecture and Incentive Mechanism for Deep Learning Training in the Internet of Things
inferredcites →https://doi.org/10.1109/tccn.2022.3177522openalex-snapshot
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
inferredcites →https://doi.org/10.1109/tits.2021.3081560openalex-snapshot
Privacy-Preserved Federated Learning for Autonomous Driving
inferredcites →https://doi.org/10.1109/tmc.2024.3414138openalex-snapshot
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content
inferredcites →https://doi.org/10.1109/tnnls.2022.3185211openalex-snapshot
A Three-Stage Optimal Operation Strategy of Interconnected Microgrids With Rule-Based Deep Deterministic Policy Gradient Algorithm
inferredcites →https://doi.org/10.1109/tnse.2023.3334476openalex-snapshot
Incentive Mechanism for Federated Learning With Random Client Selection
inferredcites →https://doi.org/10.1109/tpds.2023.3253604openalex-snapshot
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning
inferredcites →https://doi.org/10.1109/tsc.2024.3520833openalex-snapshot
An Efficient Replication-Based Aggregation Verification and Correctness Assurance Scheme for Federated Learning
inferredcites →https://doi.org/10.1145/3436755openalex-snapshot
When Machine Learning Meets Privacy
inferredcites →https://doi.org/10.1609/aaai.v34i09.7123openalex-snapshot
Energy and Policy Considerations for Modern Deep Learning Research
inferredcites →https://doi.org/10.1609/aaai.v38i13.29365openalex-snapshot
Towards Fair Graph Federated Learning via Incentive Mechanisms
inferredcites →https://doi.org/10.7717/peerj-cs.1652openalex-snapshot
A remaining useful life estimation method based on long short-term memory and federated learning for electric vehicles in smart cities
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