Comments (3)
几篇相关论文可以一起参考下,大家可以补充:
- A federated graph neural network framework for privacy-preserving personalization
- Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
- Decentralized Graph Neural Network for Privacy-Preserving Recommendation
- A Survey of Trustworthy Graph Learning
- Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
- Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation
我来补充两篇中文的吧,
- 这篇是关于图学习隐私保护的中文综述,发表于23年的《计算机学报》
图学习隐私与安全问题研究综述_先兴平.pdf - 这篇是结合负数据库加密和联邦计算的推荐系统,发表于今年的《软件学报》
基于负数据库的隐私保护图神经网络推荐系统_赵冬冬.pdf
from open-wonderland.
申请书目录
1. 项目介绍
1.1. 基金题目:基于隐私保护多方图学习的异常检测、社群挖掘与影响力评估问题
1.2. 背景及研究意义 (彭佳恒)
- 【说明项目当前研究背景、研究意义、主要解决的问题,附上参考文献】
- TODO
1.3. 研究目标(黄帆-社群挖掘,张震-异常检测)
- 【根据基金项目的要求,提炼出研究目标】
- TODO
1.4. 研究方法(韩凡宇)
- 【说明研究项目拟采用的技术路线与研究方法,突出其创新性和可落地性等优势】
- TODO
2. 研究计划(@will-ww )
- 2.1. 项目期限(一般是一年期)
- 2.2. 项目计划(一般分为三或四个阶段)
3. 预期成果(算法原型,论文,专利,技术指标等)(@will-ww )
- 按年度列出预期的研究成果,不仅包括产出物的形式(论文、专利、源代码、原型系统等),细化及量化所有合作成果
- 算法原型:完成XXX算法设计,交付一套XXXX系统及其源代码
- 论文:发表蚂蚁认可的CCF-A类或者领域内顶级会议、期刊论文XX篇
- 专利:提交国内、国际专利XX项
- 技术指标:与现有的XXXX baseline相比,提升XXXX指标 XX%
- 业务指标:预计合作成果可落地到蚂蚁的XXX业务(可和蚂蚁研发团队一起讨论)
4. 人力、设备等投入及项目预算(@will-ww )
- 4.1. 人力投入
- 4.2. 设备投入
- 4.3. 项目总预算
5. 教授个人简历(@will-ww )
from open-wonderland.
几篇相关论文可以一起参考下,大家可以补充:
- A federated graph neural network framework for privacy-preserving personalization
- Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
- Decentralized Graph Neural Network for Privacy-Preserving Recommendation
- A Survey of Trustworthy Graph Learning
- Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
- Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation
from open-wonderland.
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