64 citations · 64 across the 5 of their papers we have counts for
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cs.DC2021★ 64 cited
Roadmap for Edge AI: A Dagstuhl Perspective
Aaron Yi Ding, Ella Peltonen, Tobias Meuser +16
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred…
eess.SY2021
Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures
Hao Zhou, Atakan Aral, Ivona Brandic +1
Microgrids (MGs) are important players for the future transactive energy systems where a number of intelligent Internet of Things (IoT) devices interact for energy management in th…