kenziyuliu / DP2Links
[ICLR 2023] Official JAX/Haiku implementation of the paper "Differentially Private Adaptive Optimization with Delayed Preconditioners"
☆16Updated 3 years ago
Alternatives and similar repositories for DP2
Users that are interested in DP2 are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Updated 2 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Updated 3 years ago
- ☆11Updated last year
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- ☆80Updated 3 years ago
- ☆54Updated 4 years ago
- ☆55Updated 2 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- ☆15Updated 2 years ago
- ☆15Updated last year
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆135Updated last week
- ☆40Updated 2 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆21Updated 4 years ago
- Privacy attacks on Split Learning☆42Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Updated 2 years ago
- ☆162Updated 2 years ago
- Byzantine-resilient distributed SGD with TensorFlow.☆40Updated 4 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆26Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year
- ☆16Updated last year
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆153Updated 3 years ago
- Learning from history for Byzantine Robustness☆25Updated 4 years ago
- [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training☆13Updated 7 months ago
- ☆12Updated 4 years ago