Related papers on Federated Learning. Contribute to FL-HAR/Federated-Learning-Literature-Others development by creating an account on GitHub.
Aggregator and party configuration tutorial API documentation Related publications White paper How to get in touch? We appreciate feedback and questions. Please post issues when you encounter them. We have set up a Slack channel for ongoing discussion. Join the IBM federated learning workspace:https...
除了今年的ICML有个security and privacy of machine learning的workshop之外, 年底的NeurIPS也会有一个单独的federated learning的workshop. 今年的CVPR也有FL的一个tutorial, 包括一个由各大牛们推荐的新的会议 SysML[5]也开始关注很多FL相关的问题. 国内也有很多公司开始做FL了, 除了WeBank把这个用在金融上, 还有...
A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language. Take the tutorial to learn federated learning The next Flower Monthly is scheduled for 1st Jan 16:00 UTC (08:00 SF, 11:00 NY, 16:00 LON, 17:00 CET...
,wenkehuang,yemang}@whu.edu.cn https://github.com/xiyuanyang45/FedAS Abstract Personalized Federated Learning (PFL) is primarily de- signed to provide customized models for each client to bet- ter fit the non-iid distributed client data, which is a inherent challenge ...
"Federated Machine Learning: Concept and Applications". ACM TIST2019. 会议 Tutorial:刘洋、范涛. " 联邦学习的研究与应用".(PDF) / CCF-TF 14 联邦学习技术及数据隐私保护 Workshop: " The 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML 2019) "...
资源整理自网络，资源获取见源地址：https://github.com/weimingwill/awesome-federated-learning#blogs 目...
The ubiquitous smart meters are expected to be a central feature of future smart grids because they enable the collection of massive amounts of fine-grained consumption data to support demand-side flexibility. However, current smart meters are not smart
A Tutorial for Encrypted Deep Learning Use Homomorphic Encryption (HE) Private Deep Learning with MPC[Blog] A Simple Tutorial from Scratch Use Multiparty Compuation (MPC) Private Image Analysis with MPC[Blog] Training CNNs on Sensitive Data ...
Federated Learning TutorialFlower's goal is to make federated learning accessible to everyone. This series of tutorials introduces the fundamentals of federated learning and how to implement them in Flower.What is Federated Learning? (or open the Jupyter Notebook) An Introduction to Federated Learning...