ysy1216 / FirewaLLMLinks
By calling FirewaLLM, users can ensure the accuracy of the large model while greatly reducing the risk of privacy leakage when interacting with it. We believe that FirewallLLM is a privacy protected chatgpt interaction platform.
☆42Updated last year
Alternatives and similar repositories for FirewaLLM
Users that are interested in FirewaLLM are comparing it to the libraries listed below
Sorting:
- 联邦学习隐私保护综述☆34Updated 3 years ago
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习(clustered federated learning, CFL)的新方法,该方法的特点是基于社区检测(community detection)来进…☆66Updated 2 years ago
- Overview of Federal Learning☆293Updated 2 years ago
- PyTorch Federated Learning (easy to use and extend)☆265Updated last year
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆35Updated 2 years ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆29Updated 2 years ago
- FL-based intrusion detection system development using model averaging.☆39Updated 2 years ago
- 🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pyto…☆66Updated last year
- 利用联邦学习进行高校学生成绩预测研究,并使用Streamlit搭建了简易的可视化平台☆24Updated 3 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆30Updated last year
- A curated repository for various papers in the domain of split learning.☆54Updated 11 months ago
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 2 years ago
- About the code release for "Federated PCA on Grassmann Manifold for IoT Anomaly Detection" ToN2024☆18Updated last month
- 关于簇联邦学习的一个小小的改进。自动确定簇个数,提高簇模型精度,缓解用户孤立的问题☆36Updated 3 years ago
- 将联邦学习以及知识蒸馏用于搭建网络入侵检测检测模型,在NSL-KDD数据集上进行了验证。☆28Updated 2 years ago
- FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, diff…☆123Updated 9 months ago
- Releasing the source code Version1.☆166Updated 3 years ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆70Updated last year
- 联邦学习分布式训练MNist数据集☆59Updated 6 years ago
- 采用VAE模型实现网络流量异常检测,并结合联邦学习与蒸馏学习☆13Updated last year
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆21Updated last year
- 自己的个人毕设,联邦学习相关,主要是多方安全计算中秘密分享的一种算法实现,以完成不需要第三方的安全隐私传输。(An algorithm implementation of secret sharing in multi-party secure computing to c…☆18Updated 3 years ago
- A foundational platform that primarily shares federated learning, differential privacy content☆22Updated 4 months ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆136Updated 8 months ago
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆19Updated 4 years ago
- Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.☆20Updated last year
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆26Updated 8 months ago
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆43Updated 3 years ago
- An Efficient Learning Framework For Federated XGBoostUsing Secret Sharing And Distributed Optimization☆30Updated 4 months ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆95Updated last year