标题:SecureBoost: A Lossless Federated Learning Framework 作者:Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang公众号:《差分隐私》 先简单梳理一下本文总的脉络吧,论文结构分为9个章节,如下: 0 摘要 1 介绍 2 背景知识&相关工作 3 问题阐述 4 SecureBoost ...
为了实现这一目标,在本文中,我们提出了一种新的基于联邦学习的无损隐私保护树增强系统SecureBoost。该联合学习系统允许一个学习过程在多个参与方之间联合进行,这些参与方具有部分相同的用户样本,但具有不同的特性集(纵向联邦学习),这些特性集与垂直分区的虚拟数据集相对应。SecureBoost的一个优点是,它提供了与非隐私保护...
Decentralized Federated Learning: A Segmented Gossip Approach 背景 该篇文章从gossip协议中获得启发,旨在设计一个去中心化的联邦训练算法 Gossip协议 概要 gossip协议又称epidemic协议,是基于流行病传播方式的节点或者进程之间交换信息的协议,在分布式系统中被广泛使用,经常被用来确保网络中所有节点的数据一样。我们可以利...
SecureBoost: A Lossless Federated Learning Framework Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression Private federated learning on vertically partitioned data via entity...
Federated learning (FL) provides a robust distributed framework for machine learning that solves privacy leakage concerns. In the some cases, it is hard to train the FL model with limited communication sources and low computational capabilities for the coordinator. Especially, designing an efficient fr...
Luo, C. et al. dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling.medRxivhttps://doi.org/10.1101/2021.05.03.21256561(2021). Rieke, N. et al. The future of digital health with federated learning., 1–7 (2020)....
PaddleNLP - PaddleNLP is a Large Language Model (LLM) development suite based on the PaddlePaddle deep learning framework, supporting efficient large model training, lossless compression, and high-performance inference on various hardware devices. Semantic Kernel - Semantic Kernel is an SDK that integr...
By integrating the DDPG forecasting model within the federated learning framework, the study achieves accurate predictive modelling in a decentralised fashion. Crucially, this approach prioritises the exchange of model parameters over raw data, sidestepping sensitive privacy issues. Recent research emphasises...
Findings from Xidian University Broaden Understanding of Machine Learning (Cork: a Privacy-preserving and Lossless Federated Learning Scheme for Deep Neural Network)By a News Reporter-Staff News Editor at Network Daily News - Investigators\npublish new report on Machine Learning. According to news ...
Dive-into-DL-PyTorch 9.6k 本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。 stanford-tensorflow-tutorials 9.6k This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research. horovod 9.6k Distributed training framework for ...