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Kai Chen — most-cited papers & profile · Federated Learning
← authors
·
overview
Kai Chen
32
papers ·
596
citations ·
6
h-index
Urban Planning & Design Institute of Shenzhen (China)
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Quantifying the Performance of Federated Transfer Learning
2019 · 23 citations
HAFLO: GPU-Based Acceleration for Federated Logistic Regression
2021 · 10 citations
A Survey on Vertical Federated Learning: From a Layered Perspective
2023 · 9 citations
Federated Learning without Full Labels: A Survey
2023 · 6 citations
Trading Off Privacy, Utility and Efficiency in Federated Learning
2022 · 5 citations
Aegis: A Trusted, Automatic and Accurate Verification Framework for Vertical Federated Learning
2021 · 3 citations
Probably Approximately Correct Federated Learning
2023 · 2 citations
No Free Lunch Theorem for Security and Utility in Federated Learning
2022 · 1 citations
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data
2021
Secure Forward Aggregation for Vertical Federated Neural Networks
2022
A Game-theoretic Framework for Privacy-preserving Federated Learning
2023
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion
2023
Theoretically Principled Federated Learning for Balancing Privacy and Utility
2023
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning
2023
A Survey for Federated Learning Evaluations: Goals and Measures
2023
Top co-authors
Qiang Yang
· 9
Xiaojin Zhang
· 7
Junxue Zhang
· 6
Di Chai
· 5
Leye Wang
· 4
Liu Yang
· 4
Lixin Fan
· 4
Yilun Jin
· 3
Han Tian
· 2
Shuowei Cai
· 2
Wenjie Li
· 2
Anbu Huang
· 1
Topics
Federated Learning
Privacy
Encryption
Security
Optimization
Communication