mit-han-lab / dlg
[NeurIPS 2019] Deep Leakage From Gradients
☆432Updated 3 years ago
Alternatives and similar repositories for dlg:
Users that are interested in dlg are comparing it to the libraries listed below
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆150Updated 4 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆288Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆295Updated 9 months ago
- Code and data accompanying the FedGen paper☆253Updated 6 months ago
- Implementation of dp-based federated learning framework using PyTorch☆301Updated 2 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆190Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆236Updated 9 months ago
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 3 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆338Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆150Updated 2 years ago
- ☆175Updated 6 months ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆142Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆295Updated 3 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆212Updated 4 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆594Updated last year
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆190Updated 3 weeks ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆144Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆172Updated 4 years ago
- Breaching privacy in federated learning scenarios for vision and text☆288Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆116Updated 4 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆681Updated 2 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆387Updated 6 months ago
- Model-Contrastive Federated Learning (CVPR 2021)☆278Updated 2 years ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆61Updated 2 years ago
- ☆175Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆191Updated 3 years ago
- Simulate a federated setting and run differentially private federated learning.☆376Updated 2 months ago
- ☆157Updated 2 years ago