Kaiju Li - researchr alias

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Viewing Publication 1 - 8 from 8

2023

PBFL: Communication-Efficient Federated Learning via Parameter PredictingKaiju Li, Chunhua Xiao. cj, 66(3):626-642, March 2023. [doi]

Federated Learning Communication-Efficiency Framework via Corset ConstructionKaiju Li, Hao Wang. cj, 66(9):2077-2101, September 2023. [doi]

A Pedestrian Trajectory Prediction Network Based on Trajectory Conditional Visual AttentionXiaojie Tian, Ruoxi Lin, Shimeng Yang, Kaiju Li, Guangqiang Yin. acai2 2023: 228-232 [doi]

2022

CBFL: A Communication-Efficient Federated Learning Framework From Data Redundancy PerspectiveKaiju Li, Chunhua Xiao. sj, 16(4):5572-5583, 2022. [doi]

An optimal differentially private data release mechanism with constrained errorHao Wang, ZhengQuan Xu, Xiaoshan Zhang, Xiao Peng, Kaiju Li. fcsc, 16(3):161608, 2022. [doi]

2020

Resistance of IID Noise in Differentially Private Schemes for Trajectory PublishingHao Wang, Kaiju Li. cj, 63(4):549-566, 2020. [doi]

2019

Research on invulnerability of scale-free network with a unified methodKaiju Li, Hao Wang. ijart, 11(3):266-284, 2019. [doi]

SRS-LM: differentially private publication for infinite streaming dataHao Wang, Kaiju Li. jaihc, 10(6):2453-2466, 2019. [doi]

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