shaoxiongji / fed-att
Attentive Federated Learning for Private NLM
☆61Updated 7 months ago
Alternatives and similar repositories for fed-att:
Users that are interested in fed-att are comparing it to the libraries listed below
- tf implementation of federated learning☆41Updated 5 years ago
- ☆26Updated 4 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆143Updated 5 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 7 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆113Updated 4 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 9 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆151Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆83Updated 4 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆37Updated last year
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆62Updated 4 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆30Updated 2 years ago
- An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"☆82Updated 2 years ago
- Federated Multi-Task Learning☆129Updated 6 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆232Updated 7 months ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆147Updated 2 years ago
- ☆156Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated last year
- This repo implements FedU, a multitask learning framework for federated learning☆27Updated 2 years ago
- This is a platform containing the datasets and federated learning algorithms in IoT environments.☆62Updated 3 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆167Updated 3 years ago
- ☆54Updated 3 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆145Updated 2 years ago
- ☆28Updated 2 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆211Updated 4 years ago