ihooni / XOR-Mixup
TensorFlow experiment codes of XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning (FL' ICML 2020)
☆12Updated 4 years ago
Alternatives and similar repositories for XOR-Mixup:
Users that are interested in XOR-Mixup are comparing it to the libraries listed below
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- Adversarial attacks and defenses against federated learning.☆15Updated last year
- The implementation of "Continual Local Training for Better Initialization of Federated Models" (ICIP 2020).☆17Updated 4 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆19Updated 2 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆82Updated 3 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆21Updated 2 years ago
- This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer☆104Updated 3 years ago
- Source code of paper entitled "Federated Learning with Class Imbalance Reduction".☆10Updated 4 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 10 months ago
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆80Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- Code for novel methods for one-shot Federated Learning under high statistical heterogeneity.☆17Updated last year
- ☆69Updated 2 years ago
- ☆10Updated 2 years ago
- ☆54Updated 3 years ago
- CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction☆36Updated last year
- ☆14Updated last year
- Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)☆69Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆50Updated 3 years ago
- Learning from history for Byzantine Robustness☆22Updated 3 years ago
- ☆26Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆17Updated 5 years ago
- ☆18Updated 4 years ago
- On Bridging Generic and Personalized Federated Learning for Image Classification☆14Updated 3 years ago
- Benchmarking Semi-supervised Federated Learning☆52Updated 2 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆33Updated last year