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20192024
most citedAstraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications

200 citations · 565 across the 8 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.LG2020★ 133 cited

FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure

Moming Duan, Duo Liu, Xinyuan Ji +4

Federated Learning (FL) enables the multiple participating devices to collaboratively contribute to a global neural network model while keeping the training data locally. Unlike th…

cs.DB2020

An Efficient and Wear-Leveling-Aware Frequent-Pattern Mining on Non-Volatile Memory

Jiaqi Dong, Runyu Zhang, Chaoshu Yang +2

Frequent-pattern mining is a common approach to reveal the valuable hidden trends behind data. However, existing frequent-pattern mining algorithms are designed for DRAM, instead o…