Yi Liu's repositories

Federated-Learning-for-Traffic-Sign-Recognition

In this project, we build a simple federated deep learning model (i.e., LeNet model) that classifies 62 differents Belgian Traffic Signs.

Secure-aggregation-for-federated-learning

Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization

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GradAttack

GradAttack is a Python library for easy evaluation of privacy risks in public gradients in Federated Learning, as well as corresponding mitigation strategies.

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DataPoisoning_FL

Code for Data Poisoning Attacks Against Federated Learning Systems

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flower

Flower - A Friendly Federated Learning Research Framework

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annotated_latex_equations

Examples of how to create colorful, annotated equations in Latex using Tikz.

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Federated-Learning-Empowered-Mobile-IoT-Devices-Practice-and-Algorithm-Design

Federated Learning Empowers Mobile IoT Devices: Practice and Algorithm Design

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Federated-learning-for-internet-of-medical-of-things

Federated Learning for Internet of Medical of Things: A Comprehensive Survey

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AsynDGAN

AsynDGAN project source code.

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Computer-Networking-A-Top-Down-Approach-NOTES

《计算机网络-自顶向下方法(原书第6版)》编程作业,Wireshark实验文档的翻译和解答。

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federated-boosted-dp-trees

Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"

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Find-Influential-Papers-on-Google-Scholar

How to find influential papers on Google Scholar. For example, the most influential NLP papers on Google Scholar.

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format

ACM consolidated LaTeX styles

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gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

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invertinggradients

Algorithms to recover input data from their gradient signal through a neural network

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KDD-SSFL

KDD-21-Federated Learning

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opacus

Training PyTorch models with differential privacy

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PFL-Non-IID

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.

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poisoning-gradient-matching

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

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PPFL

Privacy-preserving Federated Learning with Trusted Execution Environments

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pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

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Research-Lab-Website

This is a simple static research lab website template which can be used by college students / professors.

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