Federated reinforcement learning at the edge: Exploring the learning-communication tradeoff
Modern cyber-physical architectures use data col-lected from systems at different physical locations to learn appropriate behaviors and adapt to uncertain environments. However, an important challenge arises as communication exchanges at the edge of networked systems are costly due to limited resour...
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| Format: | Conference item |
| Language: | English |
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European Control Conference
2022
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