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One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis (pFLSynth)
ViLReF: A Chinese Vision-Language Retinal Foundation Model
A reading list on LLM based Synthetic Data Generation 🔥
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
✨✨VITA: Towards Open-Source Interactive Omni Multimodal LLM
[Embodied-AI-Survey-2024] Paper list and projects for Embodied AI
Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuously updated to track the frontier of FedLLM.
Papers and resources related to the security and privacy of LLMs 🤖
A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code
COALA: A Practical and Vision-Centric Federated Learning Platform, accepted to ICML'24
A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。
✨✨Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
One-size-fits-all model for mobile AI, a novel paradigm for mobile AI in which the OS and hardware co-manage a foundation model that is capable of addressing most, if not all, mobile AI tasks.
Official codes for CIKM '24 full paper: Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
Paper list for Personal LLM Agents
Understand Human Behavior to Align True Needs
The implementation of the FedCVT algorithm, published in the paper "FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training"
The implementation of the PrADA algorithm published in the paper "Privacy-preserving Federated Adversarial Domain Adaptation over Feature Groups for Interpretability"
The implementation of FedCG algorithm, published in the paper "FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning"