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20222026
most citedISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling

29 citations · 32 across the 10 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.LG2023

FedNC: A Secure and Efficient Federated Learning Method with Network Coding

Yuchen Shi, Zheqi Zhu, Pingyi Fan +2

Federated Learning (FL) is a promising distributed learning mechanism which still faces two major challenges, namely privacy breaches and system efficiency. In this work, we reconc…

cs.LG2023★ 2 cited

FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning

Zheqi Zhu, Yuchen Shi, Jiajun Luo +4

Federated learning (FL) has prevailed as an efficient and privacy-preserved scheme for distributed learning. In this work, we mainly focus on the optimization of computation and co…