Xtra-Computing / PrivMLLinks
☆19Updated 4 years ago
Alternatives and similar repositories for PrivML
Users that are interested in PrivML are comparing it to the libraries listed below
Sorting:
- ☆45Updated last year
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- ☆26Updated 5 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 3 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated last year
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- Code for paper "Interpret Federated Learning with Shapley Values"☆39Updated 6 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 4 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆23Updated 5 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 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
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- ☆30Updated 5 years ago
- Attentive Federated Learning for Private NLM☆61Updated last year
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- vertical federated learning paper lists☆76Updated 4 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆53Updated last year
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 6 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆14Updated 4 years ago
- ☆29Updated 2 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆46Updated last year