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Zengxiang Li — most-cited papers & profile · Federated Learning
← authors
·
overview
Zengxiang Li
12
papers ·
31
citations ·
13
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data
2022 · 9 citations
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework
2020 · 7 citations
Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery
2022 · 4 citations
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
2023 · 2 citations
The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers
2023 · 1 citations
Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning
2020
Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models
2023
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
2024
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT
2024
Top co-authors
Jun Li
· 2
Rick Siow Mong Goh
· 2
Sheng Guo
· 2
Wen Chen
· 2
Zelei Liu
· 2
and Shi Jin
· 1
Chao Jin
· 1
Chao Shi
· 1
Cheng Jin
· 1
Chengyi Yang
· 1
Chengyi Yang
· 1
Chengyi Yang
· 1
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