FengHZ / BAFFLE
The official implement of paper "Does Federated Learning Really Need Backpropagation?"
☆23Updated 2 years ago
Alternatives and similar repositories for BAFFLE:
Users that are interested in BAFFLE are comparing it to the libraries listed below
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated last year
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆30Updated last year
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆22Updated last year
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆57Updated last year
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆54Updated last year
- ☆17Updated 2 months ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆12Updated last year
- Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)☆16Updated last year
- Federated Learning - PyTorch☆15Updated 3 years ago
- [CCS-LAMPS'24] LLM IP Protection Against Model Merging☆13Updated 4 months ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆41Updated last year
- ☆10Updated 2 years ago
- Benchmark for federated noisy label learning☆22Updated 5 months ago
- ☆20Updated 2 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆20Updated 7 months ago
- On Bridging Generic and Personalized Federated Learning for Image Classification☆14Updated 3 years ago
- ☆9Updated 2 years ago
- ☆32Updated 11 months ago
- Federated Learning Framework Benchmark (UniFed)☆49Updated last year
- The collection of papers about Private Evolution☆10Updated this week
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆25Updated 11 months ago
- ☆24Updated 2 years ago
- ☆40Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆66Updated 11 months ago
- ☆27Updated 2 years ago