Pinned Repositories
Willam-Ni
Config files for my GitHub profile.
Awesome-Differential-Privacy-and-Meachine-Learning
机器学习和差分隐私的论文笔记和代码仓
DPFL_Project
This project implements the local differential privacy (LDP) mechanism in the federated learning (FL) process. We find that the differential privacy can be exploited to conduct data/model poisoning attacks in FL process, which in turn can degrade the FL model performance. Sub-optimal model can be generated due to this DP-exploited attacks. This pro
easyFL
An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).
federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
FedML
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
FL-H.IAAC
FedPredict
FL-privacy-protection-survey
联邦学习隐私保护综述
machine_learning_model
机器学习基本模型算法介绍(附加案例)
multi-center-fed-learning
fully ready experiments
Willam-Ni's Repositories
Willam-Ni/easyFL
An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).
Willam-Ni/FL-H.IAAC
FedPredict
Willam-Ni/DPFL_Project
This project implements the local differential privacy (LDP) mechanism in the federated learning (FL) process. We find that the differential privacy can be exploited to conduct data/model poisoning attacks in FL process, which in turn can degrade the FL model performance. Sub-optimal model can be generated due to this DP-exploited attacks. This pro
Willam-Ni/Awesome-Differential-Privacy-and-Meachine-Learning
机器学习和差分隐私的论文笔记和代码仓
Willam-Ni/FedML
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
Willam-Ni/multi-center-fed-learning
fully ready experiments
Willam-Ni/federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
Willam-Ni/FL-privacy-protection-survey
联邦学习隐私保护综述
Willam-Ni/Willam-Ni
Config files for my GitHub profile.
Willam-Ni/machine_learning_model
机器学习基本模型算法介绍(附加案例)