119 citations · 197 across the 27 of their papers we have counts for
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cs.DC2021★ 1 cited
Toward Efficient Online Scheduling for Distributed Machine Learning Systems
Menglu Yu, Jia Liu, Chuan Wu +2
Recent years have witnessed a rapid growth of distributed machine learning (ML) frameworks, which exploit the massive parallelism of computing clusters to expedite ML training. How…
cs.GT2021
Federated Learning with Fair Worker Selection: A Multi-Round Submodular Maximization Approach
Fengjiao Li, Jia Liu, Bo Ji
In this paper, we study the problem of fair worker selection in Federated Learning systems, where fairness serves as an incentive mechanism that encourages more workers to particip…
cs.DC2021
A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling
Menglu Yu, Chuan Wu, Bo Ji +1
In recent years, to sustain the resource-intensive computational needs for training deep neural networks (DNNs), it is widely accepted that exploiting the parallelism in large-scal…