Name: Jingjing Zheng
Type: User
Company: CISTER Research Center
Bio: Ph.D. student at University of Porto/ Researcher at CISTER Research Centre.
If you are interested in working with me, feel free to drop me an email.
Location: Porto, Portugal
Blog: http://cister-labs.pt/
Jingjing Zheng's Projects
These codes are about AGAT-based model poisoning attack on FL.
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
Hands-on Deep Reinforcement Learning, published by Packt
Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
A library for federated learning (a distributed machine learning process) in an enterprise environment.
An easy-to-use federated learning platform
Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT
These codes are about graph autoencoder-based model poisoning attack against federated learning.
Graph Auto-Encoder in PyTorch
These codes are about "GradCAM-AE: A New Shield Defense Against Poisoning Attacks on Federated Learning"
These codes are about "A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder"
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
PyTorch Tutorial for Deep Learning Researchers
A latent text-to-image diffusion model
These codes are about variational graph autoencoder-based model poisoning attack against federated learning.