Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
☆80Jan 10, 2026Updated 3 months ago
Alternatives and similar repositories for SCAFFOLD-PyTorch
Users that are interested in SCAFFOLD-PyTorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).☆71Jun 28, 2022Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆61Jul 20, 2021Updated 4 years ago
- ☆85Jan 6, 2022Updated 4 years ago
- Benchmark of federated learning. Dedicated to the community. 🤗☆675Jan 25, 2026Updated 3 months ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆90Mar 22, 2022Updated 4 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.
- Model-Contrastive Federated Learning (CVPR 2021)☆299Jun 27, 2022Updated 3 years ago
- (NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"☆93Feb 24, 2023Updated 3 years ago
- Implementation of Federated Learning algorithms such as FedAvg, FedAvgM, SCAFFOLD, FedOpt, Mime using PyTorch.☆12Jan 2, 2023Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆115Jun 28, 2022Updated 3 years ago
- Implementation of Scaffold and Fedprox for Federated Learning using PyTorch☆24Jun 22, 2022Updated 3 years ago
- Federated Learning Based Dynamic Regularization☆18Jun 2, 2021Updated 4 years ago
- Official implementation of "Multi-Level Branched Regularization for Federated Learning" in ICML 2022☆21Mar 12, 2024Updated 2 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆230Oct 21, 2020Updated 5 years ago
- Implementation of FedAvg☆17May 21, 2022Updated 3 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!☆2,117Jan 25, 2026Updated 3 months ago
- Federated Adversrial Learning/ Training Framework. A testing ground for conducting relevant research.☆11Oct 9, 2022Updated 3 years ago
- Implementation of EF and EF21 methods and their comparison on several tasks☆10Feb 24, 2024Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Nov 7, 2022Updated 3 years ago
- Code and data accompanying the FedGen paper☆261Oct 31, 2024Updated last year
- On Bridging Generic and Personalized Federated Learning for Image Classification☆14Feb 5, 2022Updated 4 years ago
- Code for "A Local Machine Learning Approach for Fingerprint based Indoor Localization Code"☆11Mar 20, 2023Updated 3 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆728Mar 24, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆31Mar 12, 2023Updated 3 years ago
- This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.☆122Aug 7, 2023Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆77Feb 22, 2022Updated 4 years ago
- [ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization☆274Nov 13, 2025Updated 5 months ago
- ☆56Feb 23, 2024Updated 2 years ago
- The implementation of FedMix☆11Aug 18, 2022Updated 3 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆826Oct 20, 2025Updated 6 months ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Oct 4, 2022Updated 3 years ago
- ☆12Dec 3, 2023Updated 2 years ago
- 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.
- The implementation of our paper Fed-TDA☆15Jan 11, 2023Updated 3 years ago
- [AAAI'22] HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images☆91Jul 19, 2022Updated 3 years ago
- ☆45Aug 4, 2023Updated 2 years ago
- [TMLR23] FedDAG: Federated DAG Structure Learning☆19Jan 7, 2023Updated 3 years ago
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆28Nov 21, 2023Updated 2 years ago
- Code for Personalized Federated Learning with Gaussian Processes☆37Mar 3, 2022Updated 4 years ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆470Nov 16, 2023Updated 2 years ago