yiliucs Goto Github PK

annotated_latex_equations

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

asyndgan

AsynDGAN project source code.

atp

badsampler-kdd24

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。

covid-19-fedrated-learning-framework

datapoisoning_fl

Code for Data Poisoning Attacks Against Federated Learning Systems

federated-boosted-dp-trees

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

federated-learning-empowered-mobile-iot-devices-practice-and-algorithm-design

Federated Learning Empowers Mobile IoT Devices: Practice and Algorithm Design

federated-learning-for-internet-of-medical-of-things

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

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.

find-influential-papers-on-google-scholar

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

fl-optimal-client-sampling

flower

Flower - A Friendly Federated Learning Research Framework

format

ACM consolidated LaTeX styles

gan-compression

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

gradattack

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

invertinggradients

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

kdd-ssfl

KDD-21-Federated Learning

ml-project-group7

opacus

Training PyTorch models with differential privacy

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.

plot-in-reseach-paper

poisoning-gradient-matching

Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

ppfl

Privacy-preserving Federated Learning with Trusted Execution Environments

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

research-lab-website

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

responsereviewers

A basic LaTeX template document for creating journal response to reviewers letters

rfa

secure-aggregation-for-federated-learning

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