A Two-Stage Incentive Mechanism Design for Quality Optimization of Hierarchical Federated Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230695
Abstract: In this paper, we investigate the aggregated model quality maximization problem in hierarchical federated learning, the decision problem of which is proved NP-complete. We develop the mechanism MaxQ to maximize the sum of local model… read more here.
Keywords: quality; incentive mechanism; federated learning; stage ... See more keywords
Dew-Cloud-Based Hierarchical Federated Learning for Intrusion Detection in IoMT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3186250
Abstract: The coronavirus pandemic has overburdened medical institutions, forcing physicians to diagnose and treat their patients remotely. Moreover, COVID-19 has made humans more conscious about their health, resulting in the extensive purchase of IoT-enabled medical devices.… read more here.
Keywords: dew cloud; dew; model; cloud based ... See more keywords
HFDRL: An Intelligent Dynamic Cooperate Cashing Method Based on Hierarchical Federated Deep Reinforcement Learning in Edge-Enabled IoT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3086623
Abstract: The Internet of Things (IoT) has significantly increased the number of terminals and network traffic. It is necessary to exploit the full capacity of the network and optimize content transfer. Despite the powerful processing and… read more here.
Keywords: federated deep; reinforcement learning; deep reinforcement; hierarchical federated ... See more keywords
InFEDge: A Blockchain-Based Incentive Mechanism in Hierarchical Federated Learning for End-Edge-Cloud Communications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2022.3213323
Abstract: Advances in communications and networking technologies are driving the computing paradigm toward the end-edge-cloud collaborative architecture to leverage ubiquitous data and resources. Opposite to centralized intelligence, Hierarchical Federated Learning (HFL) relieves overwhelmed communication overhead and… read more here.
Keywords: incentive mechanism; federated learning; edge cloud; end edge ... See more keywords
Privacy-Preserving Hierarchical Federated Recommendation Systems
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DOI: 10.1109/lcomm.2023.3245101
Abstract: With growing concern on data privacy, traditional Recommendation System (RS) raises the risk of privacy disclosure since it needs to collect a large amount of personal data. To tackle this problem, implementing RS in a… read more here.
Keywords: preserving hierarchical; recommendation; federated recommendation; privacy preserving ... See more keywords
Toward Robust Hierarchical Federated Learning in Internet of Vehicles
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3243003
Abstract: The rapid growth of the Internet of Vehicles (IoV) paradigm sparks the generation of large volumes of distributed data at vehicles, which can be harnessed to build models for intelligent applications. Federated learning has recently… read more here.
Keywords: aggregation; federated learning; robust hierarchical; internet vehicles ... See more keywords