fedprox 开源项目推荐（42 个）

vaseline555 /Federated-Learning-in-PyTorch

PyTorch的联合学习实现（为你的无痛研究提供）

ki-ljl /FedProx-PyTorch

PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).

Lee-Gihun /FedNTD

（NeurIPS 2022）“通过联邦学习中的非真蒸馏保存全球知识”的正式实施

c-gabri /Federated-Learning-PyTorch

PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visual classification. Client distributions are synthesized with arbitrary non-identicalness and imbalance (Dirichlet priors). Client systems can be arbitrarily heterogeneous. Several mobile-friendly models are prov…

ayushm-agrawal /Federated-Learning-Implementations

This repository contains all the implementation of different papers on Federated Learning

ysyisyourbrother /Federated-Learning-Research

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.

shyam671 /Federated-Learning

该项目在 GitHub 上没有填写描述

anandcu3 /Federated-Learning-for-Remote-Sensing

Federated Learning Experiments for Remote Sensing image data using convolution neural networks

Lee-Gihun /FedSOL

(CVPR 2024) Official Implementation of "FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning"

QuinkGL /quinkgl-framework

research-based, fully open-source, peer-to-peer gossip learning framework

michael-cummins /FedBack

[L4DC 2025] Controlling Pariticipation in Federated Learning with Feedback

PranavMundhra /Wind-Turbine

Federated learning baseline for wind turbine fault detection on CARE to Compare: leak-free clients, FedAvg/FedProx/FedPer, CARE score, reproducible results.

Er-Ishan-Srivastav /Adaptive-Traffic-Control-System

An AI-driven Adaptive Traffic Signal Control System (ATSCS) that replaces static timers with dynamic green-light phases. Utilizes YOLOv8 for real-time vehicle density estimation and multi-class classification, achieving 96.4% mAP. Optimized for low-latency inference (>30 FPS) on edge devices to reduce urban congestion and commuter wait times.

Jesuthan /federated-health-chain

Privacy-preserving federated learning across hospitals: FedProx + differential privacy, model deltas on IPFS, immutable audit trail on Hyperledger Fabric

LalitSatvik /federated-learning-portfolio

FedAvg vs FedProx on LEAF, simulated with Flower, streamed live

VEDICWARRIOR /FederatedLearning-TEST

A reliability-driven federated learning framework for multi-label thorax disease classification that simulates collaborative hospital training without sharing raw patient data.

sidd-24 /FLM

Federated learning on non-IID data: compares a centralised PyTorch model with synchronous (FedProx) and asynchronous (FedAsync) aggregation on the Adult Census dataset split across 6 clients via a Dirichlet distribution.

sultanalikhan7543 /federated-ecg-research

Federated learning for privacy-preserving ECG arrhythmia classification under non-IID data distributions

sriramkv3010 /NAFO

Network-Aware Federated Optimisation (NAFO): a 5G-native framework that jointly optimizes wireless channel conditions, differential privacy, and multi-modal healthcare AI. Demonstrates robust federated learning under realistic 3GPP network constraints with AoI-aware dynamics.

BThameur /FL-for-Smart-Healthcare

Experiments of the FL in Healthcare project - MRI images use case - using Flower