FederalLab / OpenFedLinks
A Comprehensive and Versatile Open-Source Federated Learning Framework
☆33Updated 2 years ago
Alternatives and similar repositories for OpenFed
Users that are interested in OpenFed are comparing it to the libraries listed below
Sorting:
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- Federated Learning with Partial Model Personalization☆42Updated 3 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆162Updated 4 years ago
- ☆54Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆22Updated 3 years ago
- ☆30Updated 5 years ago
- ☆30Updated 4 years ago
- ☆22Updated 4 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆41Updated 4 years ago
- Papers related to federated learning in top conferences (2020-2024).☆70Updated last year
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Updated 2 years ago
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆100Updated last year
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago
- ☆47Updated last year
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆32Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆10Updated 3 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated last year
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Updated 5 years ago
- ☆21Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago
- ☆23Updated 4 years ago