3 papers
cs.AI2026
Learning Agent Execution for KV-Cache Management in Agentic Serving
Rui Zhang, Chaeeun Kim, Shaoting Feng +6
Multi-agent LLM systems have emerged as an important deployment paradigm for AI services, where each user request is decomposed into a sequence of specialized agents. Across these…
cs.DC2026
Totoro: An Adaptive and Scalable Edge Federated Learning System
Cheng-Wei Ching, Xin Chen, Taehwan Kim +3
Federated Learning (FL) is an emerging distributed machine learning (ML) technique that enables in-situ model training and inference on decentralized edge devices. We propose Totor…
cs.DB2025
AgileDART: An Agile and Scalable Edge Stream Processing Engine
Cheng-Wei Ching, Xin Chen, Chaeeun Kim +4
Edge applications generate a large influx of sensor data on massive scales, and these massive data streams must be processed shortly to derive actionable intelligence. However, tra…