Intelligent Edge Computing: Challenges, Architectures, and Optimization
Intelligent edge computing is rapidly emerging as a foundational pillar for next-generation machine learning systems, enabling low-latency, context-aware, and scalable intelligence close to data sources. This talk offers a holistic perspective on reimagining intelligent edge computing through innovative resource deployment and service optimization strategies. We first introduce a cooperative edge server deployment architecture to reduce infrastructure overhead. To further expand flexibility and coverage in dynamic environments, a hybrid server deployment paradigm is explored to improve both spatial adaptability and computational efficiency. In addition, a task-aware service placement mechanism is proposed for service optimization. Collectively, these insights outline a clear pathway toward scalable, efficient, and adaptive edge computing infrastructures for the next wave of machine learning technologies and real-world applications.
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- Xi 'an Jiaotong University(iHarbour Campus)
- Xi'an , Shaanxi
- China
- Building: Innovation Harbor
- Room Number: 4-7151
- Starts 01 August 2026 04:00 PM UTC
- Ends 03 August 2026 04:00 PM UTC
- No Admission Charge