abbas5253 / SplitNN-for-Vertically-Partitioned-DataLinks
Integration of SplitNN for vertically partitioned data with OpenMined's PySyft
☆27Updated 4 years ago
Alternatives and similar repositories for SplitNN-for-Vertically-Partitioned-Data
Users that are interested in SplitNN-for-Vertically-Partitioned-Data are comparing it to the libraries listed below
Sorting:
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆53Updated last year
- reveal the vulnerabilities of SplitNN☆31Updated 3 years ago
- ☆19Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Attentive Federated Learning for Private NLM☆61Updated 11 months ago
- Privacy attacks on Split Learning☆42Updated 3 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 6 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- ☆45Updated last year
- ☆35Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 5 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆145Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆66Updated 3 years ago
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆75Updated 5 months ago
- ☆37Updated 3 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 4 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆38Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆105Updated last year
- ☆54Updated 4 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆123Updated 3 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆155Updated 4 years ago
- ☆16Updated last year