1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.DC2025★ 1 cited
LLMSched: Uncertainty-Aware Workload Scheduling for Compound LLM Applications
Botao Zhu, Chen Chen, Xiaoyi Fan +1
Developing compound Large Language Model (LLM) applications is becoming an increasingly prevalent approach to solving real-world problems. In these applications, an LLM collaborate…
cs.DC2024
DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service
Yu Liu, Zibo Wang, Yifei Zhu +1
Federated learning (FL) has emerged as a prevalent distributed machine learning scheme that enables collaborative model training without aggregating raw data. Cloud service provide…