Xtra-Computing / FeTLinks
Federated Transformer (NeurIPS 24): a framework to enhance the performance of multi-party Vertical Federated Learning involving fuzzy identifiers
☆41Updated last year
Alternatives and similar repositories for FeT
Users that are interested in FeT are comparing it to the libraries listed below
Sorting:
- ☆37Updated 3 months ago
- Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning☆26Updated 4 months ago
- [COLING'25] Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?☆82Updated last year
- ☆144Updated 9 months ago
- Initialization using Update Approximation is a Silver Bullet for Extremely Efficient Low-Rank Fine-Tuning☆52Updated 3 months ago
- Official Code for paper "Towards Efficient and Effective Unlearning of Large Language Models for Recommendation" (Frontiers of Computer S…☆38Updated last year
- [CCS 2024] "BadMerging: Backdoor Attacks Against Model Merging": official code implementation.☆35Updated last year
- This is the official code for the paper "Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation"☆53Updated last year
- RGL - RAG-on-Graphs Library☆113Updated 9 months ago
- The code of RouterDC☆69Updated 9 months ago
- ☆38Updated last year
- Co-LLM: Learning to Decode Collaboratively with Multiple Language Models☆126Updated last year
- ☆18Updated 2 years ago
- Implementation for PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs☆24Updated last year
- Code associated with the EMNLP 2024 Main paper: "Image, tell me your story!" Predicting the original meta-context of visual misinformatio…☆45Updated 2 months ago
- ☆49Updated 2 months ago
- This is the official implementation for the paper: Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models☆19Updated last year
- ☆110Updated last year
- [AAAI 2025] Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models.☆41Updated last month
- A novel approach to improve the safety of large language models, enabling them to transition effectively from unsafe to safe state.☆71Updated 8 months ago
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆36Updated 11 months ago
- ☆20Updated 11 months ago
- JudgeLRM: Large Reasoning Models as a Judge☆40Updated last week
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆110Updated 2 months ago
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆113Updated last year
- This repository contains the code for the paper: SirLLM: Streaming Infinite Retentive LLM☆60Updated last year
- [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text☆55Updated last year
- Repo for the paper: PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees (CVPR 2024)☆23Updated last year
- ☆146Updated last year
- Feature partitioner by imbalance or correlation (ICLR 2024)☆17Updated last year