PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).
☆70Jun 28, 2022Updated 3 years ago
Alternatives and similar repositories for Scaffold-Federated-Learning
Users that are interested in Scaffold-Federated-Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning☆81Jan 10, 2026Updated 5 months ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆114Jun 28, 2022Updated 3 years ago
- 手撸SVM实现二分类☆21Mar 7, 2022Updated 4 years ago
- NCEPU-EDM(NCEPU和EDM分别是华北电力大学和教育数据挖掘的缩写)软件是专门为华北电力大学本科生所开发的一款简单软件,具有查询和数据挖掘两大功能模块。其中查询模块为学生提供成绩、课表、考试、GPA、培养方案、成绩总表以及综合测评等教务查询。同时该模块对学生的成绩…☆26Apr 5, 2022Updated 4 years ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Jun 28, 2022Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- PyTorch implementation of FedPer (Federated Learning with Personalization Layers).☆79Aug 6, 2022Updated 3 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆90Mar 22, 2022Updated 4 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆78Jan 20, 2024Updated 2 years ago
- SCAFFOLD and FedAvg implementation☆61Jul 20, 2021Updated 4 years ago
- Implementation of Federated Learning algorithms such as FedAvg, FedAvgM, SCAFFOLD, FedOpt, Mime using PyTorch.☆12Jan 2, 2023Updated 3 years ago
- Model-Contrastive Federated Learning (CVPR 2021)☆298Jun 27, 2022Updated 3 years ago
- ☆86Jan 6, 2022Updated 4 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆19Oct 21, 2023Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆77Feb 22, 2022Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆730Mar 24, 2023Updated 3 years ago
- ☆29Dec 23, 2023Updated 2 years ago
- (CVPR 2024) Communication-Efficient Federated Learning with Accelerated Client Gradient☆44Aug 15, 2025Updated 10 months ago
- Code and data accompanying the FedGen paper☆263Oct 31, 2024Updated last year
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Oct 4, 2022Updated 3 years ago
- ICLR 2023 - FedFA: Federated Feature Augmentation☆60Mar 28, 2023Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆72Dec 9, 2024Updated last year
- Federated Learning Based Dynamic Regularization☆18Jun 2, 2021Updated 5 years ago
- ICML 2024 - Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning☆10Jul 16, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆18Jul 20, 2022Updated 3 years ago
- ☆31Mar 12, 2023Updated 3 years ago
- ☆15Jan 16, 2024Updated 2 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆683Jan 25, 2026Updated 4 months ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆13Dec 16, 2023Updated 2 years ago
- ☆13May 13, 2023Updated 3 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆80Feb 27, 2022Updated 4 years ago
- CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization☆13Aug 3, 2024Updated last year
- ☆33Dec 3, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,136Jan 25, 2026Updated 4 months ago
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆17Oct 9, 2023Updated 2 years ago
- Personalized federated learning codebase for research☆413Oct 4, 2023Updated 2 years ago
- Official implementation of the RegMixup paper☆22Nov 30, 2022Updated 3 years ago
- Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".☆15Jun 9, 2023Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆124Jul 1, 2022Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆164Nov 7, 2022Updated 3 years ago