AI-secure / FLBenchmark-toolkit
Federated Learning Framework Benchmark (UniFed)
☆49Updated last year
Alternatives and similar repositories for FLBenchmark-toolkit:
Users that are interested in FLBenchmark-toolkit are comparing it to the libraries listed below
- Federated Learning Systems Paper List☆70Updated last year
- ☆42Updated 11 months ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆26Updated 2 years ago
- ☆40Updated last year
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated last year
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆68Updated 5 months ago
- ☆54Updated 3 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆92Updated 8 months ago
- ☆19Updated last year
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆75Updated 3 years ago
- ☆32Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- ☆28Updated 4 years ago
- ☆62Updated last year
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 3 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated last year
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆20Updated 3 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- ☆20Updated 2 years ago
- Federated Learning - PyTorch☆15Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- ☆54Updated 2 years ago
- Privacy attacks on Split Learning☆38Updated 3 years ago
- ☆16Updated last year
- A Comprehensive and Versatile Open-Source Federated Learning Framework☆32Updated last year
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆23Updated 3 years ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆28Updated this week