Federated Adversrial Learning/ Training Framework. A testing ground for conducting relevant research.
☆11Oct 9, 2022Updated 3 years ago
Alternatives and similar repositories for FederatedAL
Users that are interested in FederatedAL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Dec 28, 2025Updated 3 months ago
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆28Feb 23, 2023Updated 3 years ago
- ☆10Nov 1, 2023Updated 2 years ago
- This repository contains model to detect anomaly in smart meter data☆20Jun 9, 2023Updated 2 years ago
- This repository is a collection of tutorials from☆10Dec 8, 2019Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.☆12Jul 7, 2022Updated 3 years ago
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆15Mar 24, 2022Updated 4 years ago
- MXNet/Gluon implement of L-GM-Loss☆11Oct 17, 2018Updated 7 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Nov 7, 2022Updated 3 years ago
- End-to-End Gradient Inversion (Gradient Leakage in Federated Learning) 【https://ieeexplore.ieee.org/document/9878027】☆11Aug 19, 2022Updated 3 years ago
- 一个低成本、易于上手的多模态大模型学习项目。基于Qwen3-0.6B和CLIP构建,使用LLaVA架构和LoRA微调,在消费级16G显卡上数小时即可完成训练☆48Sep 15, 2025Updated 7 months ago
- ☆11Jul 12, 2021Updated 4 years ago
- ☆28May 11, 2024Updated last year
- ☆14May 7, 2024Updated last year
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 2022阿里天池真实场景篡改图像检测挑战赛-冠军方案(1/1149)☆11Mar 28, 2022Updated 4 years ago
- Code for AAAI 2019 Network Interpretability workshop paper☆16Jul 5, 2021Updated 4 years ago
- ☆15Aug 4, 2020Updated 5 years ago
- PRCV'24 | Official PyTorch implementation of "Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Imag…☆11Jul 9, 2024Updated last year
- CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)☆11Dec 7, 2022Updated 3 years ago
- Training Federated GANs with Theoretical Guarantees: AUniversal Aggregation Approach☆17Jan 18, 2021Updated 5 years ago
- Implementation of FedAvg☆16May 21, 2022Updated 3 years ago
- ☆14Aug 22, 2021Updated 4 years ago
- Research into model inversion on SplitNN☆18Feb 20, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Nov 19, 2021Updated 4 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆14Dec 2, 2020Updated 5 years ago
- ☆19Feb 18, 2025Updated last year
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆45Sep 17, 2025Updated 7 months ago
- Federated learning with model quantization☆16Nov 28, 2021Updated 4 years ago
- Implementation of Federated Learning algorithms such as FedAvg, FedAvgM, SCAFFOLD, FedOpt, Mime using PyTorch.☆12Jan 2, 2023Updated 3 years ago
- ☆20Jun 21, 2021Updated 4 years ago
- Asynchronous Federated Learning MNIST Image Classifier using Convolutional Neural-Network☆10Nov 15, 2022Updated 3 years ago
- Federated Primal-Dual Algorithm☆16Mar 4, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆14Apr 16, 2024Updated 2 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆13Dec 16, 2023Updated 2 years ago
- Unofficial Visual Prompt Tuning implementation☆17May 22, 2023Updated 2 years ago
- The Pytorch code of "Asymmetric Distribution Measure for Few-shot Learning", IJCAI 2020.☆15Oct 9, 2020Updated 5 years ago
- ☆52Dec 31, 2024Updated last year
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- Common deep learning utils.☆18Nov 1, 2023Updated 2 years ago