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cs.DC2024
A Robust Power Model Training Framework for Cloud Native Runtime Energy Metric Exporter
Sunyanan Choochotkaew, Chen Wang, Huamin Chen +4
Estimating power consumption in modern Cloud environments is essential for carbon quantification toward green computing. Specifically, it is important to properly account for the p…
cs.DC2024
FedCore: Straggler-Free Federated Learning with Distributed Coresets
Hongpeng Guo, Haotian Gu, Xiaoyang Wang +5
Federated learning (FL) is a machine learning paradigm that allows multiple clients to collaboratively train a shared model while keeping their data on-premise. However, the stragg…