经典论文阅读(一)--NCF: Neural Collaborative Filtering NCF是神经网络版本的协同过滤,推荐算法的经典的方法之一。本文回顾一下NCF论文的要点。 摘要(What) NCF是一种通用的框架,它可以表达和推广矩阵分解。 为了提升NFC的非线性建模能力,我们提出了使用多层感知机去学习用户-项目之间交互函数(interaction function)。
联邦协同过滤推荐算法(FCF):Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, Adrian Flanagan. Federated collaborative filtering for privacy-preserving personalized recommendation system [J]. CoRR, 2019, abs/1901.09888. Paper 基于隐私保护的余弦相似度...
Neural graph collaborative filtering. NGCF Kgat: Knowledge graph attention network for recommendation. KGAT Graph neural networks for social recommendation. GraphRec 这些方法需要将数据收集到 Server 端,不满足隐私保护的安全性。 FL for Recommendation Federated Collaborative Filtering for Privacy-Preserving Person...
例如,”Graph convolutional matrix completion“一文提出使用图卷积自动编码器从user-item二部图(二分图)中学习user和item表示【补充1:GCMC[2]论文插图】;”Neural graph collaborative filtering“一文提出使用three-hop图注意网络【补充2:GAT[3]论文(1-hop)、DAGN论文(multi-hop)[4]】来捕捉user和item间的高阶...
Federated Neural Collaborative Filtering 2022, Knowledge-Based Systems Show abstract A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing 2022, ACM Transactions on Information Systems FR-FMSS: Federated recommendation via fake marks and secret sharing 2021, RecSys 2021 - 15th AC...
Also, advanced neural network architectures such as Convolutional Neural Networks (CNNs) require much higher computational power from every collaborating manufacturer, with a significantly lengthened training time and compromised model interpretability, despite gaining a slight edge in accuracy (See ...
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System Arxiv GNN FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation Arxiv Federated Social Recommendation with Graph Neural Network ACM TIST Personalized Federated Recommendation via Joint Representation...
Federated learning for network attack detection using attention-based graph neural networks Article Open access 17 August 2024 Introduction With the rapid proliferation of Internet of Things (IoT) technology, the number of end devices in people’s lives has surged, greatly enhancing the quality of ...
P1: B. Li, Y. Wang, A. Singh, and Y. Vorobeychik, “Data poisoning attacks on factorization-based collaborative filtering,” Advances in neural information processing systems, vol. 29, pp. 1885–1893, 2016. || M. Fang, N. Z. Gong, and J. Liu, “Influence function based data poison...
With the help of this framework, the training of artificial neural network models based on federated learning will use fewer training rounds, thereby reducing the consumption of computing resources and the training time cost while improving the model accuracy. Phan et al. (2023) [36] proposed an...