This is your work, valued

UbiquitousLearning

Elite
@UbiquitousLearning

A Research Team at BUPT and PKU, aiming to make AI (LLM) ubiquitous and democratized. PI: Mengwei Xu

xumengwei.github.io/

mllm. Fast Multimodal LLM on Mobile Devices

1.6k

Efficient_Foundation_Model_Survey. Survey Paper List - Efficient LLM and Foundation Models

265

SLM_Survey.

109

Paper-list-resource-efficient-large-language-model.

103

End2end-Federated-Learning. A demo of end-to-end federated learning system.

69

PhoneLM. Python

67

FwdLLM. Jupyter Notebook

36

FedAdapter. "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.

34

MobileFM. 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.

30

Backpropagation_Free_Training_Survey. Shell

26

Benchmark-On-Device-Training. Our unique contributions are in tools/train/benchmark.

22

Mandheling-DSP-Training. The open-source project for "Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading"[MobiCom'2022]

20

MobileDLFrameworksBenchmark. Python

19

DroidCall. Python

17

FeS. Federated Few-shot Learning for Mobile NLP. Conditionally accepted by MobiCom'23.

16

NNV12. C++

13

GUI-Shift. Python

10

LanFL. Python

3

Edge-AI-Paper-List.

2

mllm-chat. Chat UI for mllm Inference Engine

2

FLScheduler. Python

1

mllm_website. MDX

1