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:
- ☆55Updated 2 years ago
- ☆11Updated 11 months ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆53Updated last year
- Papers related to federated learning in top conferences (2020-2024).☆69Updated 8 months ago
- ☆15Updated last year
- ☆40Updated last year
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆23Updated 9 months ago
- [ICLR 2023] Official JAX/Haiku implementation of the paper "Differentially Private Adaptive Optimization with Delayed Preconditioners"☆16Updated 2 years ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆27Updated 2 years ago
- ☆54Updated 4 years ago
- [USENIX Security'24] Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning☆19Updated 2 months ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆38Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆56Updated 2 years ago
- For distributed machine learning☆28Updated last month
- ☆16Updated 6 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 3 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated last year
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆40Updated last year
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆69Updated 2 years ago
- ☆28Updated 2 years ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- ☆30Updated 5 years ago
- On Bridging Generic and Personalized Federated Learning for Image Classification☆14Updated 3 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆57Updated last year
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆30Updated 2 years ago
- Learning from history for Byzantine Robustness☆23Updated 4 years ago