Robotics & Machine Learning Daily News2024,Issue(Oct.10) :75-76.

Reports on Machine Learning from Bhilai Institute of Technology Provide New Insi ghts (Reinforcement Learning for Real-time Federated Learning for Resource-const rained Edge Cluster)

Robotics & Machine Learning Daily News2024,Issue(Oct.10) :75-76.

Reports on Machine Learning from Bhilai Institute of Technology Provide New Insi ghts (Reinforcement Learning for Real-time Federated Learning for Resource-const rained Edge Cluster)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Chhattisgarh, India, by NewsRx journalists, research stated, “For performing various predicti ve analytics tasks for real-time mission-critical applications, Federated Learni ng (FL) have emerged as the go-to machine learning paradigm for its ability to l everage perform machine learning workloads on resource-constrained edge devices. For such FL applications working under stringent deadlines, the overall local t raining time needs to be minimized, which consists of the retrieval delay, i.e., the delay in fetching the data from the IoT devices to the FL clients as well a s the time consumed in training the local models.”

Key words

Chhattisgarh/India/Asia/Cyborgs/Emer ging Technologies/Machine Learning/Reinforcement Learning/Bhilai Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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