CECMLP: new cipher-based evaluating collaborative multi-layer perceptron scheme in federated learning

DOI10.1007/978-3-030-78372-3_4zbMath1489.68046OpenAlexW3167053152MaRDI QIDQ2117030

Meixia Miao, Yi Xie, Xu Ma, Yu-Qi Chen, Xiao-Yu Zhang

Publication date: 21 March 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-78372-3_4

zbMATH Keywords

privacy preservationfederated learningcipher-based weighted method

Mathematics Subject Classification ID

Cryptography (94A60) Data encryption (aspects in computer science) (68P25) Computer security (68M25) Privacy of data (68P27)

Uses Software

• ImageNet
• DeepStack
• Gazelle
• AlexNet

Cites Work

• Gazelle
• Privacy preservation for machine learning training and classification based on homomorphic encryption schemes
• Differential Privacy: A Survey of Results
• Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
• DeepStack: Expert-level artificial intelligence in heads-up no-limit poker

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