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Federated reinforcement learning: techniques, applications, and open challenges | Synapse

January 1, 2021Open Access

Federated reinforcement learning: techniques, applications, and open challenges

JQJiaju QiUniversity of Guelph QZQihao ZhouNanjing University of Information Science and Technology LLLei LeiUniversity of Guelph

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Resumen

Intelligence & Robotics publishes top-quality unpublished original technical and non-technical application-focused articles on intelligence and robotics, particularly on the interdisciplinary areas of intelligence and robotics.

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Cite This Study

Qi et al. (Fri,) studied this question.

synapsesocial.com/papers/6a1be96f27b545b111a932cb https://doi.org/https://doi.org/10.20517/ir.2021.02

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