yankang18

research

FedHSSL

The implementation of FedHSSL algorithm published in the paper "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning".

Attack-Defense-VFL

The implementation of the paper "A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning".

deep-learning-study

Deep learning (DL) materials collected from various sources including Udacity, Coursera, Udemy and many others. I also add my comments, notes and code for various DL topics. The main DL frameworks that I use for coding are Tensorflow, Kears and Theano. I will continue adding more materials and revising existing ones. I will also reorganize this repository if necessary.

FedBCD

The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features"

FedCG

The implementation of FedCG algorithm, published in the paper "FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning"

FedCVT

The implementation of the FedCVT algorithm, published in the paper "FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training"

lightweight-secure-vfl

Implementation of basic vertical logistic regression and vertical neural network

LLM_Prompt_Perturbation

Code implementation of the paper "InferDPT: Privacy-preserving Inference for Black-box Large Language Models", which perturbs prompts sent to LLM server to protect the privacy of client's data privacy

PrADA

The implementation of the PrADA algorithm published in the paper "Privacy-preserving Federated Adversarial Domain Adaptation over Feature Groups for Interpretability"

yankang18/FedBCD

The implementation of FedBCD algorithm published in the paper "FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features"

yankang18/deep-learning-study

Deep learning (DL) materials collected from various sources including Udacity, Coursera, Udemy and many others. I also add my comments, notes and code for various DL topics. The main DL frameworks that I use for coding are Tensorflow, Kears and Theano. I will continue adding more materials and revising existing ones. I will also reorganize this repository if necessary.

yankang18/FedCG

The implementation of FedCG algorithm, published in the paper "FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning"

yankang18/FedCVT

The implementation of the FedCVT algorithm, published in the paper "FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training"

yankang18/Attack-Defense-VFL

The implementation of the paper "A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning".

yankang18/lightweight-secure-vfl

Implementation of basic vertical logistic regression and vertical neural network

yankang18/LLM_Prompt_Perturbation

Code implementation of the paper "InferDPT: Privacy-preserving Inference for Black-box Large Language Models", which perturbs prompts sent to LLM server to protect the privacy of client's data privacy

yankang18/PrADA

The implementation of the PrADA algorithm published in the paper "Privacy-preserving Federated Adversarial Domain Adaptation over Feature Groups for Interpretability"

yankang18/pytorch_deep_learning

Pytorch tutorial

yankang18/computer_vision

yankang18/FATE

An Open Source Secure Computing Framework to support the Federated AI ecosystem

yankang18/natural_language_process

yankang18/deep-learning-1

Repo for the Deep Learning Nanodegree Foundations program.

yankang18/DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

yankang18/EAOT

The open source implementation of "Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers"

yankang18/fedavg_leakage

yankang18/FedHSSL

Official implementation for the paper: "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning".

yankang18/machine-learning-general-tools

about numpy, panda, matplotlib and others

yankang18/machine_learning_examples

A collection of machine learning examples and tutorials.

yankang18/MachineLearningNanoDegree

Projects from Udacity's Machine Learning Nano Degree Program

yankang18/Mirror-Sample

Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment

yankang18/MixMatch-pytorch

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

yankang18/notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

yankang18/paper-reading

深度学习经典、新论文逐段精读

yankang18/ppd_data

yankang18/programming

yankang18/PSL-MOBO

Pareto Set Learning

yankang18/secure_machine_learning

yankang18/TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

yankang18/yankang18.github.io