UbiquitousLearning

mllm

Fast Multimodal LLM on Mobile Devices

Efficient_Foundation_Model_Survey

Survey Paper List - Efficient LLM and Foundation Models

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

End2end-Federated-Learning

A demo of end-to-end federated learning system.

FedAdapter

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

MobileDLFrameworksBenchmark

Benchmark-On-Device-Training

Our unique contributions are in tools/train/benchmark.

Mandheling-DSP-Training

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

FeS

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

FwdLLM

NNV12

LanFL

Edge-AI-Paper-List

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.

TinyLLMLeaderBoard

Backpropagation_Free_Training_Survey

FLScheduler

mllm_website

python_rdma_test

This is an RDMA program written in Python, based on the Pyverbs provided by the rdma-core(https://github.com/linux-rdma/rdma-core) repository.