wangleye / dp-sparse-mcsLinks
code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16
☆47Updated 8 years ago
Alternatives and similar repositories for dp-sparse-mcs
Users that are interested in dp-sparse-mcs are comparing it to the libraries listed below
Sorting:
- Useful tools for differential privacy☆219Updated 3 years ago
- Location Privacy Protection System Based on K-Anonymous☆24Updated 8 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆46Updated 3 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆23Updated 4 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- Supporting code for https://arxiv.org/abs/2010.00753.☆21Updated 4 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆251Updated 2 years ago
- Sample LDP implementation in Python☆128Updated 2 years ago
- Code for our paper "Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation" (https://arxiv.org/abs/2105.10883).☆26Updated 4 years ago
- 完全去中心化联邦学习☆31Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆26Updated 3 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆289Updated 7 months ago
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆32Updated 4 years ago
- Asynchronous Federated Learning☆49Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆139Updated 5 years ago
- A simulation framework for Federated Learning written in PyTorch☆207Updated 3 years ago
- Utility-aware synthesis of differentially private and attack-resilient location traces☆25Updated 6 years ago
- ☆11Updated 5 years ago
- Federated learning convolution neural network (FL-CNN) to detect mode of transport from Itinerum GPS trajectories.☆35Updated 6 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated 2 years ago
- ☆23Updated 6 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆39Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- Implementation of Federated Learning and Blockchain for training machine learning models using a decentralized approach thereby attemptin…☆31Updated 4 years ago
- ☆32Updated 3 years ago
- We will implement this framework.☆32Updated 3 years ago
- GFIM: An novel algorithm of frequent item mining with local differential privacy☆12Updated 5 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago