首页|Studies in the Area of Machine Learning Reported from Concordia University (Trus t-driven Reinforcement Selection Strategy for Federated Learning On Iot Devices)

Studies in the Area of Machine Learning Reported from Concordia University (Trus t-driven Reinforcement Selection Strategy for Federated Learning On Iot Devices)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Montreal, Canada, by NewsRx editors, research stated, “Federated learning is a distributedmachine l earning approach that enables a large number of edge/end devices to perform on-d evice trainingfor a single machine learning model, without having to share thei r own raw data. We consider in thispaper a federated learning scenario wherein the local training is carried out on IoT devices and the globalaggregation is d one at the level of an edge server.”

MontrealCanadaNorth and Central Amer icaCyborgsEmerging TechnologiesMachine LearningConcordia University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.18)