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cs.DC2026
Quota-Based Aging for Prediction-Guided Scheduling in LLM Serving
Hanzhi Zhang, Anxuan Che, Hang Qi +2
Large language model (LLM) serving systems use token-level continuous batching to improve resource utilization, but heterogeneous response lengths complicate request scheduling. Pr…
cs.DC2026
Adaptive Client Clustering and Coordination for Federated Learning Workflow Management in Edge Networks
Jieping Luo, Qiyue Li, Yuxuan Chen +4
Federated learning (FL) is increasingly deployed as a managed learning service rather than as a set of isolated training jobs. In networked edge environments, dependent FL service…