JerryLife / FedOnce
Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)
☆19Updated 3 years ago
Alternatives and similar repositories for FedOnce:
Users that are interested in FedOnce are comparing it to the libraries listed below
- The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Dis…☆13Updated 10 months ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆26Updated 2 years ago
- Code for paper - Stochastic Clustered Federated Learning☆11Updated last year
- Compressed Vertical Federated Learning simulation code☆15Updated 2 years ago
- ☆29Updated 2 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆92Updated 9 months ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆42Updated 2 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- ☆34Updated 3 years ago
- ☆40Updated last year
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆44Updated 2 years ago
- ☆30Updated 4 years ago
- ☆16Updated 9 months ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆45Updated last year
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆21Updated last year
- ☆36Updated 3 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Updated 2 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- Official PyTorch implementation of DENSE (NeurIPS 2022)☆30Updated 2 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆28Updated 4 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆20Updated 2 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆65Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 11 months ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆56Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆68Updated 6 months ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆39Updated last year
- Similarity Guided Model Aggregation for Federated Learning☆24Updated 3 years ago
- Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".☆14Updated last year