Runyue Li
Biographic Data
| ID | 10054375 |
|---|---|
| NAME | Runyue Li |
| GIVEN NAMES | Runyue |
| FAMILY NAME | Li |
| SIGNATURE | LI R |
| AFFILIATIONS | Guangzhou University |
| ORCID | 0009-0002-9305-3103 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Efficient Inference Scheduling With Edge and Cloud Collaboration for LLMs Under Resource Constraints
Large language models (LLMs) have transformed artificial intelligence (AI) applications but require substantial computational resources, posing challenges for real-time deployment. Cloud computing offers powerful resources but suffers from high latency and bandwidth costs. In contrast, edge computing reduces latency but is limited by its computational capacity for large-scale models. Consequently, edge–cloud collaboration emerges as a critical ap…
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Efficient Inference Scheduling With Edge and Cloud Collaboration for LLMs Under Resource Constraints
Large language models (LLMs) have transformed artificial intelligence (AI) applications but require substantial computational resources, posing challenges for real-time deployment. Cloud computing offers powerful resources but suffers from high latency and bandwidth costs. In contrast, edge computing reduces latency but is limited by its computational capacity for large-scale models. Consequently, edge–cloud collaboration emerges as a critical ap…
Cloud computing (1 work) · Cloud Computing and Resource Management (1 work) · Distributed and Parallel Computing Systems (1 work) · Edge computing (1 work) · Enhanced Data Rates for GSM Evolution (1 work) · Inference (1 work) · IoT and Edge/Fog Computing (1 work)