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Training PyTorch models with differential privacy
Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.
qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing
Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, etc.
cloud-app-admin 使用了最新的 Vue3.2 + Vite3 + Element-Plus + TypeScript 等主流技术开发。
list of differential-privacy related resources
A Decentralized Collaborative Approach for Online Edge User Allocation
User allocation in Mobile Edge Computing Environment using Reinforcement Learning
Designed and developed a recommendation system to recommend the most suitable web services to the user by applying multicriteria decision making technique on the spatial and temporal information th…
A curated list of awesome edge computing, including Frameworks, Simulators, Tools, etc.
🍊A simple hexo theme of minimalism
Some classical edge server placement algorithms are implemented.
a python implementation of Robin Milner's bigraph formalism
An interactive graphical user interface editor for modelling user defined bigraphs.
code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16
A simple, delicate, and modern theme for the static site generator Hexo.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
A List of Recommender Systems and Resources