orionw / Multilingual-Federated-Learning
Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022
☆11Updated 2 years ago
Alternatives and similar repositories for Multilingual-Federated-Learning
Users that are interested in Multilingual-Federated-Learning are comparing it to the libraries listed below
Sorting:
- [Findings of ACL 2023] Communication Efficient Federated Learning for Multilingual Machine Translation with Adapter☆12Updated last year
- The official implement of paper "Does Federated Learning Really Need Backpropagation?"☆23Updated 2 years ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆35Updated 11 months ago
- [ICML 2024] Codes for C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models☆16Updated 11 months ago
- Crawl & visualize ICLR papers and reviews.☆18Updated 2 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"☆11Updated 2 years ago
- ☆21Updated last year
- [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang☆16Updated 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
- Data Valuation on In-Context Examples (ACL23)☆23Updated 4 months ago
- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Updated 4 years ago
- Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…☆22Updated last year
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- ☆42Updated last year
- Uncertainty quantification for in-context learning of large language models☆16Updated last year
- ☆19Updated 2 years ago
- Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…☆13Updated 4 years ago
- Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"☆55Updated last year
- ☆9Updated 4 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆30Updated 2 years ago
- ☆17Updated 2 years ago
- ☆42Updated 3 months ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated 2 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆18Updated 3 years ago
- Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"☆17Updated last year
- ☆14Updated 5 years ago
- ☆22Updated 2 years ago
- ☆13Updated 2 years ago
- ☆1Updated 11 months ago