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SoK: Towards Security and Safety of Edge AI
Advanced AI applications have become increasingly available to a broad audience, e. g., as centrally managed large language models (LLMs).
Roadmap for Edge AI: A Dagstuhl Perspective
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 as Edge AI.
Industrial Federated Learning -- Requirements and System Design
Federated Learning (FL) is a very promising approach for improving decentralized Machine Learning (ML) models by exchanging knowledge between participating clients without revealing private data.
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