Thanks to visit codestin.com
Credit goes to github.com

Skip to content
View dixiyao's full-sized avatar
🌐
Always online
🌐
Always online
40 followers · 21 following

Achievements

Achievement: Starstruckx2Achievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx2Achievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Block or report dixiyao

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
dixiyao/README.md

GitHub Streak

Pinned Loading

  1. FoT FoT Public

    Federation over Text (FoT) is a federated-learning-like paradigm for multi-agent reasoning.

    Python 108 2

  2. Patch-Shuffling-Transformer Patch-Shuffling-Transformer Public

    The official implementatioin code of ICDM 2022 paper: "Privacy-Preserving Split Learning via Patch Shuffling over Transformers"

    Python 12

  3. LLM-Academic-Writing LLM-Academic-Writing Public

    A public repository going to study how we can leverage LLMs as tools to improve our academic writing.

    TypeScript 137 4

  4. IOS2SlurmCluster IOS2SlurmCluster Public

    Your AI research assistant that lives on your cluster server. Run experiments, manage code, and check results — from your browser, iPhone, or Apple Watch.

    Swift 3 1

  5. TL-System/plato TL-System/plato Public

    Plato: A Research Framework for Federated Learning

    Python 395 92

  6. Context-Aware-Compilation-of-DNN-Training-Pipelines-across-Edge-and-Cloud Context-Aware-Compilation-of-DNN-Training-Pipelines-across-Edge-and-Cloud Public

    The implementation of IMWUT paper "Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud"

    Python 5