kenziyuliu / private-cross-silo-flLinks
[NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"
☆27Updated 2 years ago
Alternatives and similar repositories for private-cross-silo-fl
Users that are interested in private-cross-silo-fl are comparing it to the libraries listed below
Sorting:
- ☆54Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 11 months ago
- ☆40Updated last year
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆38Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- Learning from history for Byzantine Robustness☆25Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- ☆45Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- ☆28Updated 2 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆27Updated 2 years ago
- Privacy attacks on Split Learning☆42Updated 3 years ago
- ☆54Updated 4 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆24Updated 11 months ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- ☆11Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- ☆29Updated 2 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆155Updated 4 years ago
- ☆15Updated last year
- ☆70Updated 3 years ago
- ☆43Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆146Updated 3 years ago
- ☆37Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆105Updated last week
- ☆16Updated last year