通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from Non-IID Data两篇论文,复现FedAvg与STC算法,完成LSTM模型+ Shakespeare数据集的字符预测任务
☆42Jul 28, 2022Updated 3 years ago
Alternatives and similar repositories for FederalLearning
Users that are interested in FederalLearning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Decentralized federated machine learning using peer-to-peer networks☆12Apr 11, 2023Updated 3 years ago
- 一个轻量型联邦学习框架,支持支持本地仿真和实际部,支持通信参量、模型、数据的自由更改,支持通信及模型各种指标的观察 开发人员:Jiaxiang Geng/Songning Gao☆34Aug 5, 2024Updated last year
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆19Apr 26, 2021Updated 5 years ago
- This is a implemention of FedAvg in paper Communication-Efficient Learning of Deep Networks from Decentralized Data.☆33Apr 22, 2021Updated 5 years ago
- A powerful framework for decentralized federated learning with user-defined communication topology☆12Dec 14, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆24Jun 22, 2022Updated 3 years ago
- KDDCUP2022 WPF Competition☆11Aug 5, 2022Updated 3 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆26Jul 23, 2022Updated 3 years ago
- Asynchronous Federated Learning☆19Oct 5, 2021Updated 4 years ago
- KDD 2022☆10Nov 21, 2024Updated last year
- ☆19Jan 25, 2022Updated 4 years ago
- The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"☆17Mar 26, 2023Updated 3 years ago
- ☆13Oct 21, 2020Updated 5 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆28Nov 6, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆12Jan 23, 2024Updated 2 years ago
- cifiar10 联邦学习☆10Apr 6, 2020Updated 6 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆54Apr 30, 2024Updated 2 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆182May 26, 2022Updated 4 years ago
- Codes for kddcup2022☆18Aug 5, 2022Updated 3 years ago
- 机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格…