shaoxiongji / fed-att
Attentive Federated Learning for Private NLM
☆61Updated 9 months ago
Alternatives and similar repositories for fed-att:
Users that are interested in fed-att are comparing it to the libraries listed below
- Bayesian Nonparametric Federated Learning of Neural Networks☆144Updated 5 years ago
- tf implementation of federated learning☆42Updated 5 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 9 months ago
- ☆26Updated 5 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 11 months ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆62Updated 4 years ago
- ☆36Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆115Updated 4 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated last year
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆30Updated 2 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- ☆157Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆85Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆60Updated 3 years ago
- Federated Multi-Task Learning☆130Updated 6 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆84Updated 4 years ago
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆77Updated 3 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 3 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆64Updated 4 months ago
- ☆23Updated last year
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated 2 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- ☆30Updated 4 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆17Updated 5 years ago