Popular GitHub Repositories for Eco Fl

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。

FedScale is a scalable and extensible open-source federated learning (FL) platform.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles ?

[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes

Standard federated learning implementations in FedLab and FL benchmarks.

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.

PrimiHub platform is a Muti-Party Computation and Muti-Party federated task security scheduling platform for MPC and FL point to point service.

Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainable development.

Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".

FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning (IEEE AICAS2021)

Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'

? 基于 PaddleFL 框架的联邦学习医疗影像识别 GUI

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".

An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster and help researchers to explore more problems existing in real FL systems.

Federated Learning (FL) experiment simulation in Python.

[IJCAI 2024] Redefining Contributions: Shapley-Driven Federated Learning