Robust aggregation for federated learning with the RFA algorithm.
☆54Sep 13, 2022Updated 3 years ago
Alternatives and similar repositories for RFA
Users that are interested in RFA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆10Nov 1, 2023Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆114Sep 9, 2025Updated 11 months ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆153Oct 3, 2022Updated 3 years ago
- ☆19Dec 7, 2020Updated 5 years ago
- Learning from history for Byzantine Robustness☆27Jun 11, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆23Aug 3, 2023Updated 3 years ago
- ☆20Apr 12, 2023Updated 3 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆10Nov 19, 2021Updated 4 years ago
- Membership Inference Attack on Federated Learning☆13Jan 14, 2022Updated 4 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Aug 22, 2020Updated 5 years ago
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Jun 19, 2020Updated 6 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆75Aug 5, 2021Updated 5 years ago
- Gradient-Leakage Resilient Federated Learning☆15Jul 25, 2022Updated 4 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆39Aug 7, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆38Apr 9, 2021Updated 5 years ago
- ☆16May 10, 2019Updated 7 years ago
- ☆18Feb 2, 2022Updated 4 years ago
- ☆33Oct 10, 2023Updated 2 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Nov 11, 2020Updated 5 years ago
- ☆18Jun 10, 2024Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆153Aug 6, 2022Updated 4 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆316Jul 25, 2024Updated 2 years ago
- verifying machine unlearning by backdooring☆20Mar 25, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- This is the formal code implementation of the CVPR 2024 paper 'Traceable Federated Continual Learning'.☆19May 31, 2024Updated 2 years ago
- ☆23Nov 2, 2019Updated 6 years ago
- Federated Learning package☆21Aug 16, 2021Updated 4 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆207Aug 5, 2021Updated 5 years ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆55Dec 11, 2024Updated last year
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Oct 6, 2023Updated 2 years ago
- ☆25Jul 12, 2021Updated 5 years ago
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆16Jun 28, 2024Updated 2 years ago
- Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning☆34Apr 23, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆21Jul 25, 2023Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆12May 21, 2021Updated 5 years ago
- Siren: Byzantine-robust Federated Learning via Proactive Alarming (SoCC '21)☆11Mar 28, 2024Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆759Mar 25, 2026Updated 4 months ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆29Jun 29, 2023Updated 3 years ago
- TextHide: Tackling Data Privacy in Language Understanding Tasks☆30Apr 19, 2021Updated 5 years ago