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Beyond the edge: An advanced exploration of reinforcement learning for mobile edge computing, its applications, and future research trajectories
Mobile Edge Computing (MEC) broadens the scope of computation and storage beyond the
central network, incorporating edge nodes close to end devices. This expansion facilitates …
central network, incorporating edge nodes close to end devices. This expansion facilitates …
Client scheduling for multiserver federated learning in industrial iot with unreliable communications
The Industrial Internet of Things (IIoT) is emerging as a promising technology that can
accelerate the application of industrial intelligence to smart factories. Because of the …
accelerate the application of industrial intelligence to smart factories. Because of the …
Optimal directed acyclic graph federated learning model for energy-efficient IoT communication networks
Federated learning (FL) stimulates distributed on-device computation systems to process an
optimum technique efficiency by communicating local process upgrades and global method …
optimum technique efficiency by communicating local process upgrades and global method …
Towards Seamless Hierarchical Federated Learning under Intermittent Client Participation: A Stagewise Decision-Making Methodology
Federated Learning (FL) offers a pioneering distributed learning paradigm that enables
devices/clients to build a shared global model. This global model is obtained through …
devices/clients to build a shared global model. This global model is obtained through …
ENERGY-EFFICIENT USER-EDGE ASSOCIATION AND RESOURCE ALLOCATION IN IOT-BASED HIERARCHICAL FEDERATED LEARNING
HA SAADAT - 2022 - qspace.qu.edu.qa
The proliferation of data as part of the Internet of Things (IoT) systems needs to be efficiently
utilized while respecting data privacy and scalability. Edge computing is an emerging …
utilized while respecting data privacy and scalability. Edge computing is an emerging …