yjlee22 / byzantineFLView external linksLinks
PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance
☆34Oct 11, 2024Updated last year
Alternatives and similar repositories for byzantineFL
Users that are interested in byzantineFL are comparing it to the libraries listed below
Sorting:
- Byzantine Attack-Resistant Federated Averaging Based on Outlier Elimination☆24Dec 26, 2022Updated 3 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Aug 6, 2022Updated 3 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆65May 22, 2020Updated 5 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆155Feb 16, 2025Updated 11 months ago
- (CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"☆15Jun 28, 2024Updated last year
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Jul 22, 2022Updated 3 years ago
- ☆55Feb 19, 2023Updated 2 years ago
- PyTorch implementation of Fast-Convergent Federated Learning via Cyclic Aggregation, including FedAvg, FedProx, MOON, and FedRS☆15Jun 28, 2023Updated 2 years ago
- Implementation of Federated Learning algorithms such as FedAvg, FedAvgM, SCAFFOLD, FedOpt, Mime using PyTorch.☆12Jan 2, 2023Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Jul 16, 2020Updated 5 years ago
- A repo to download and preprocess the Purchase100 dataset extracted from Kaggle: Acquire Valued Shoppers Challenge☆12Jun 21, 2021Updated 4 years ago
- Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".☆12Mar 28, 2022Updated 3 years ago
- Processed datasets that we have used in our research☆14Apr 30, 2020Updated 5 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 4 years ago
- ☆16May 10, 2019Updated 6 years ago
- ☆19Feb 8, 2024Updated 2 years ago
- Byzantine-robust Federated Learning☆16Sep 21, 2023Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆35Oct 3, 2022Updated 3 years ago
- Code and data accompanying the FedGen paper☆258Oct 31, 2024Updated last year
- ☆37Apr 9, 2021Updated 4 years ago
- A demo of vertical federated learning on simple datasets☆23Nov 21, 2020Updated 5 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Aug 12, 2020Updated 5 years ago
- ☆19Sep 8, 2023Updated 2 years ago
- Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)☆48Dec 17, 2019Updated 6 years ago
- ☆17Aug 5, 2024Updated last year
- ☆45Nov 10, 2019Updated 6 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆206Jun 13, 2021Updated 4 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆421Oct 26, 2024Updated last year
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆313Jul 25, 2024Updated last year
- A Simulator for Privacy Preserving Federated Learning☆96Jan 12, 2021Updated 5 years ago
- Swarm Learning for computational pathology☆29Feb 17, 2022Updated 3 years ago
- FedD3: Federated Learning via Decentralized Dataset Distillation☆30Apr 8, 2023Updated 2 years ago
- [IEEE TITS 2024] Activity-aware human mobility prediction with hierarchical graph attention recurrent network.☆25Jan 19, 2025Updated last year
- ☆23Nov 2, 2019Updated 6 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆34Nov 17, 2022Updated 3 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆33Dec 4, 2022Updated 3 years ago
- [INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆41Aug 31, 2025Updated 5 months ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Mar 16, 2021Updated 4 years ago