.github assets bindings/python configs docker k8s/coordinator rust scripts .dockerignore .gitignore CHANGELOG.md LICENSE README.md README.tpl ROADMAP.md README Apache-2.0 license xaynet Xaynet: Train on the Edge with Federated Learning Want a framework that supports federated learning on the edge...
Federated learning is an emerging framework that builds centralized machine learning models with training data distributed across multiple devices. Most of the previous works about federated learning focus on the privacy protection and communication cost reduction. However, how to achieve fairness in ...
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints - felisat/clustered-federated-learning
code: https://github.com/felisat/clustered-federated-learning 编辑:古月 目的:传统联邦学习中,存在这个假设: 训练一组模型,使得所有得到用户都能满足最小化风险函数的目标: 假设1 但是,显然这种假设并不是对于所有用户都满足,因为两个用户之间的数据分布很容易是很不相似的,对应于FL中的Non_IID问题。 所以本文...
表一MAML算法伪代码,出自论文Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 步骤一:随机初始化参数; 步骤二:开始循环; 步骤三:导入图片,随即对几个task进行采样,形成一个batch; 步骤四---七:声明一下,这里每次迭代涉及到两次参数更新,由于个人习惯,笔者将第一次称之为外循环,第二次称之为...
联邦元学习Federated meta learning 是MAMLMAMLMAML全程模型无关元学习,Model-AgnosticMeta-Learning,可以用在监督学习、强化学习上,所以称为模型无关。但是我理解到的是,MAML用在分类问题上,那么模型...配图均来自该视频 引用论文MAML中的一句话介绍元学习: The goalofmeta-learningis to train amodelon a variety...
Reliably predicting potential failure risks of machine learning (ML) systems when deployed with production data is a crucial aspect of trustworthy AI. This
Federated Learning Simulator (FLSim) is a flexible, standalone library written in PyTorch that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as computer vision and natural text. Currently FLSim supports cross-device FL, ...
Our code is partly based on the following open-source projects:FedProto,FedClassAvgandFederated Learning Toolkit. We convey our gratitude to the developers of these resources. Releases No releases published Packages No packages published Languages ...