Our paper "Revisiting Edge AI: Opportunities and Challenges" has been published in IEEE Internet Computing.
This work revisits the Edge AI landscape, examining both the exciting opportunities and significant challenges that arise when deploying AI workloads at the network edge. We discuss:
- The convergence of edge computing and artificial intelligence
- Key technical challenges in resource-constrained edge environments
- Trade-offs between latency, privacy, and model accuracy
- Future directions for Edge AI research and deployment
The paper builds on discussions and insights from our Dagstuhl seminar on Edge AI and represents a comprehensive look at where the field stands and where it's headed.