88 citations · 239 across the 32 of their papers we have counts for
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cs.DC2022★ 1 cited
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks
Xiumei Deng, Jun Li, Chuan Ma +4
Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed intelligence of industrial automation thanks to its capability of distributed machine learnin…
cs.DC2022★ 4 cited
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
Chuan Ma, Jun Li, Kang Wei +5
Motivated by the advancing computational capacity of distributed end-user equipments (UEs), as well as the increasing concerns about sharing private data, there has been considerab…
cs.LG2022★ 52 cited
Vertical Federated Learning: Challenges, Methodologies and Experiments
Kang Wei, Jun Li, Chuan Ma +5
Recently, federated learning (FL) has emerged as a promising distributed machine learning (ML) technology, owing to the advancing computational and sensing capacities of end-user d…