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Research Manuscript
:
Faster, Safer, Greener: AI-driven Evolution in Smart Edge
DescriptionThis session explores AI-driven innovations shaping edge intelligence in acceleration, reliability, and sustainability. It begins with acceleration in 3D point cloud detection, edge-compute-free image compression, and multi-model decentralized federated learning. Reliability is then reinforced with Linux runtime integrity measurement, automated hardware verification, and high-level synthesis with post-implementation. It concludes with sustainability through energy-efficient forecasting and architecture-level power modeling. These innovations drive the next generation of smart edge computing.
Event Type
Research Manuscript
TimeWednesday, June 253:30pm - 5:30pm PDT
Location3006, Level 3
Topics
Systems
Tracks
SYS4: Embedded System Design Tools and Methodologies