Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
Implementation of dp-based federated learning framework using PyTorch
☆294Updated last year
Alternatives and similar repositories for Federated-Learning-with-Differential-Privacy:
Users that are interested in Federated-Learning-with-Differential-Privacy are comparing it to the libraries listed below
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆370Updated 4 months ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- On the Convergence of FedAvg on Non-IID Data☆259Updated 2 years ago
- Paper notes and code for differentially private machine learning☆347Updated 3 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆165Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆230Updated 7 months ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆122Updated last year
- Code and data accompanying the FedGen paper☆250Updated 4 months ago
- ☆172Updated 4 months ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆139Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆181Updated 3 years ago
- Implement FedAvg algorithm based on Tensorflow☆240Updated 4 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆581Updated last year
- Privacy Preserving Vertical Federated Learning☆217Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆293Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆189Updated 10 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆151Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆158Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆118Updated 2 years ago
- Accenture Labs Federated Learning☆97Updated 11 months ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆141Updated 2 years ago
- ☆174Updated last year
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆289Updated 7 months ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆209Updated 4 years ago
- Simulate a federated setting and run differentially private federated learning.☆366Updated 7 months ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆428Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆78Updated 7 months ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆184Updated 3 years ago
- PyTorch Federated Learning (easy to use and extend)☆241Updated last year
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 4 years ago