4 citations · 4 across the 4 of their papers we have counts for
4 papers
A Low-Latency Semantic State Estimator using Latent Predictive Learning for Dynamic Network Monitoring and Orchestration
Hari Madhukumar, Haiyuan Li, Xiaolan Liu +2
Closed-loop network monitoring and orchestration increasingly require semantic interpretations of live telemetry beyond raw counter collection. However, dynamic cloud-edge environm…
Multi-Agentic AI for Fairness-Aware and Accelerated Multi-modal Large Model Inference in Real-world Mobile Edge Networks
Haiyuan Li, Hari Madhukumar, Shuangyi Yan +2
Generative AI (GenAI) has transformed applications in natural language processing and content creation, yet centralized inference remains hindered by high latency, limited customiz…
Profiling AI Models: Towards Efficient Computation Offloading in Heterogeneous Edge AI Systems
Juan Marcelo Parra-Ullauri, Oscar Dilley, Hari Madhukumar +1
The rapid growth of end-user AI applications, such as computer vision and generative AI, has led to immense data and processing demands often exceeding user devices' capabilities.…
Towards Practical Operation of Deep Reinforcement Learning Agents in Real-World Network Management at Open RAN Edges
Haiyuan Li, Hari Madhukumar, Peizheng Li +6
Deep Reinforcement Learning (DRL) has emerged as a powerful solution for meeting the growing demands for connectivity, reliability, low latency and operational efficiency in advanc…