mit-han-lab / dlgLinks
[NeurIPS 2019] Deep Leakage From Gradients
☆475Updated 3 years ago
Alternatives and similar repositories for dlg
Users that are interested in dlg are comparing it to the libraries listed below
Sorting:
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆313Updated last year
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆165Updated 4 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆311Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆244Updated last year
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- ☆179Updated last year
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- Code and data accompanying the FedGen paper☆258Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆314Updated last month
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 9 months ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆202Updated 4 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆205Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆161Updated 4 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆613Updated last year
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆63Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆157Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆274Updated 3 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆342Updated 4 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Updated 4 years ago
- ☆164Updated 3 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆307Updated 3 years ago
- A sybil-resilient distributed learning protocol.☆110Updated 4 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆121Updated 5 years ago
- ☆183Updated 2 years ago
- Breaching privacy in federated learning scenarios for vision and text☆312Updated last week
- Plato: A Research Framework for Federated Learning☆393Updated 3 weeks ago
- An open source FL implement with dataset(Femnist, Shakespeare, MNIST, Cifar-10 and Fashion-Mnist) using pytorch☆133Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆420Updated last year