Xtra-Computing / SimFLLinks
Practical Federated Gradient Boosting Decision Trees (AAAI 2020)
☆18Updated 2 years ago
Alternatives and similar repositories for SimFL
Users that are interested in SimFL are comparing it to the libraries listed below
Sorting:
- ☆46Updated last year
- Privacy-Preserving Gradient Boosting Decision Trees (AAAI 2020)☆27Updated 2 years ago
- vertical federated learning paper lists☆76Updated 4 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆48Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆310Updated 2 years ago
- Privacy Preserving Vertical Federated Learning☆219Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization☆31Updated 7 months ago
- A sybil-resilient distributed learning protocol.☆104Updated last month
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆64Updated 5 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆148Updated 3 years ago
- ☆174Updated 11 months ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆27Updated 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
- Differentially Private Federated Learning on Heterogeneous Data☆68Updated 3 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆78Updated 3 years ago
- ☆19Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆32Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 8 months ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆151Updated 3 years ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆132Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆159Updated 4 years ago
- ☆20Updated last year
- Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness (IJCAI'19).☆13Updated 4 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆129Updated last year
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆54Updated last year
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated last year