most citedXFL: A High Performace, Lightweighted Federated Learning Framework

3 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 3 cited

XFL: A High Performace, Lightweighted Federated Learning Framework

Hong Wang, Yuanzhi Zhou, Chi Zhang +4

This paper introduces XFL, an industrial-grade federated learning project. XFL supports training AI models collaboratively on multiple devices, while utilizes homomorphic encryptio…

cs.DC2023★ 2 cited

SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction

Zhiqi Lin, Youshan Miao, Guodong Liu +10

With the growing model size, deep neural networks (DNN) are increasingly trained over massive GPU accelerators, which demands a proper parallelization plan that transforms a DNN mo…