mit-han-lab / dlgLinks
[NeurIPS 2019] Deep Leakage From Gradients
☆436Updated 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)☆298Updated 10 months ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆151Updated 4 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆290Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆300Updated 2 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆597Updated last year
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆191Updated 3 years ago
- ☆176Updated 7 months ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆150Updated 2 years ago
- Code and data accompanying the FedGen paper☆252Updated 7 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆154Updated 3 years ago
- Breaching privacy in federated learning scenarios for vision and text☆293Updated last year
- Standard federated learning implementations in FedLab and FL benchmarks.☆153Updated last year
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆338Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆237Updated 10 months ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆192Updated 3 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆191Updated last month
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆212Updated 4 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆386Updated 7 months ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆683Updated 2 years ago
- ☆175Updated 2 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆248Updated last year
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆162Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆722Updated 10 months ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆440Updated last year
- Galaxy Federated Learning Framework (星际联邦学习框架)☆251Updated 2 years ago
- Leaf: A Benchmark for Federated Settings☆884Updated 2 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆771Updated 9 months ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆144Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆295Updated 3 years ago