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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…
cs.DC2023★ 1 cited
Moirai: Towards Optimal Placement for Distributed Inference on Heterogeneous Devices
Beibei Zhang, Hongwei Zhu, Feng Gao +2
The escalating size of Deep Neural Networks (DNNs) has spurred a growing research interest in hosting and serving DNN models across multiple devices. A number of studies have been…