most citedEfficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout

2 citations · 6 across the 4 of their papers we have counts for

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cs.LG2023★ 1 cited

Multi-Tier Client Selection for Mobile Federated Learning Networks

Yulan Gao, Yansong Zhao, Han Yu

Federated learning (FL), which addresses data privacy issues by training models on resource-constrained mobile devices in a distributed manner, has attracted significant research a…

cs.LG2023★ 2 cited

Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout

Yuanyuan Chen, Zichen Chen, Sheng Guo +6

Artificial intelligence (AI)-empowered industrial fault diagnostics is important in ensuring the safe operation of industrial applications. Since complex industrial systems often i…