wangleye / dp-sparse-mcsLinks
code for 'Differential Location Privacy for Sparse Mobile Crowdsensing' at ICDM'16
☆46Updated 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:
- Location Privacy Protection System Based on K-Anonymous☆24Updated 8 years ago
- Protecting location privacy of workers and requesters in spatial crowdsourcing☆8Updated 7 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Useful tools for differential privacy☆216Updated 2 years ago
- Secure and utility-aware data collection with condensed local differential privacy☆17Updated 5 years ago
- Code for our paper "Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation" (https://arxiv.org/abs/2105.10883).☆25Updated 4 years ago
- Sample LDP implementation in Python☆129Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆23Updated 3 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆68Updated 4 years ago
- Quantifying Differential Privacy under Temporal Correlations☆12Updated 2 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Updated 3 years ago
- ☆20Updated last year
- Differential private machine learning☆194Updated 3 years ago
- 完全去中心化联邦学习☆29Updated last year
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆125Updated 10 months ago
- Python module for simulating gossip learning.☆40Updated last year
- Implementation of calibration bounds for differential privacy in the shuffle model☆22Updated 4 years ago
- Byzantine-robust Federated Learning☆16Updated last year
- An implementation of Deep Learning with Differential Privacy☆25Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆132Updated 5 years ago
- ☆31Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆37Updated 2 years ago
- Active Client Selection for Federated Learning☆49Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆304Updated 2 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆40Updated last year
- Implementation of Federated Learning and Blockchain for training machine learning models using a decentralized approach thereby attemptin…☆31Updated 3 years ago
- The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation☆165Updated 2 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆62Updated last year
- Decentralized federated machine learning using peer-to-peer networks☆11Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆80Updated 3 years ago