4 papers · 1 filter
LLM-assisted Agentic Edge Intelligence Framework
Chinmaya Kumar Dehury, Siddharth Singh Kushwaha, Qiyang Zhang +2
Edge intelligence delivers low-latency inference, yet most edge analytics remain hard-coded and must be redeployed as conditions change. When data patterns shift or new questions a…
Synergizing Monetization, Orchestration, and Semantics in Computing Continuum
Chinmaya Kumar Dehury, Lauri Lovén, Praveen Kumar Donta +2
Industry demands are growing for hyper-distributed applications that span from the cloud to the edge in domains such as smart manufacturing, transportation, and agriculture. Yet to…
Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution
Yunquan Gao, Zhiguo Zhang, Praveen Kumar Donta +4
Deep Neural Networks (DNNs) are increasingly deployed across diverse industries, driving demand for mobile device support. However, existing mobile inference frameworks often rely…
Deep Reinforcement Learning (DRL)-based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions
Maria R. Read, Chinmaya Dehury, Satish Narayana Srirama +1
Streaming applications are becoming widespread across an extensive range of business domains as an increasing number of sources continuously produce data that need to be processed…