Xtra-Computing / FeTLinks
Federated Transformer (NeurIPS 24): a framework to enhance the performance of multi-party Vertical Federated Learning involving fuzzy identifiers
☆38Updated 6 months ago
Alternatives and similar repositories for FeT
Users that are interested in FeT are comparing it to the libraries listed below
Sorting:
- Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning☆17Updated 2 weeks ago
- ☆26Updated 3 months ago
- Feature partitioner by imbalance or correlation (ICLR 2024)☆16Updated 5 months ago
- [COLING'25] Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?☆79Updated 5 months ago
- ☆46Updated 6 months ago
- Repo for the paper: PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees (CVPR 2024)☆19Updated 10 months ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆27Updated 2 years ago
- Implementation for PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs☆23Updated last year
- Federated Learning Framework Benchmark (UniFed)☆49Updated 2 years ago
- A curated list of advancements in Vertical Federated Learning, frameworks and libraries.☆35Updated 5 months ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Updated last year
- ☆18Updated last year
- ☆26Updated last year
- Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning☆48Updated 2 weeks ago
- ☆80Updated 5 months ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆22Updated last year
- Python library for data stream learning☆27Updated 9 months ago
- [TMLR'24] This repository includes the official implementation our paper "FedConv: Enhancing Convolutional Neural Networks for Handling D…☆25Updated last year
- Collection of all the papers talking about/relevant to the topic of privacy-preserving LLMs☆29Updated 4 months ago
- FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion (NeurIPS 2024 Spotlight)☆12Updated 2 months ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆29Updated 3 weeks ago
- Official Code for paper "Towards Efficient and Effective Unlearning of Large Language Models for Recommendation" (Frontiers of Computer S…☆37Updated 11 months ago
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆97Updated 3 weeks ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆25Updated 2 years ago
- Selective Aggregation for Low-Rank Adaptation in Federated Learning [ICLR 2025]☆36Updated 2 months ago
- Benchmark for federated noisy label learning☆23Updated 9 months ago
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Updated last year
- Improving Your Model Ranking on Chatbot Arena by Vote Rigging (ICML 2025)☆21Updated 4 months ago
- Towards Understanding the Mixture-of-Experts Layer in Deep Learning☆31Updated last year
- This is the official implementation for the paper: Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models☆13Updated 9 months ago