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

📦 Collect some Asynchronous Federated Learning papers.

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🔨 A toolbox for federated learning, aiming to provide implementations of FedAvg, FedProx, Ditto, etc. in multiple versions, such as Pytorch/Tensorflow, single-machine/distributed, synchronized/asynchronous.

Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)

Asynchronous Federated Learning

PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Workshop on Federated Learning for Computer Vision (FedVision).

[IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks

🔥[MobiCom'25 Poster] AFL-Lib: An Asynchronous Federated Learning Library and Benchmark

BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning

simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"

🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.

[ICLR 2024] FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler

A project for simulation of Asynchronous Federated Learning

Implementation of asynchronous federated learning in flower.

Asynchronous Federated Learning

CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggregator device is selected to enable hierarchical learning, leads to efficient communication between server and workers, while allowing heterogeneity.

[ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training

Blockchain Enabled Asynchronous and Secure Federated Machine Learning

This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"

A simple Asynchronous Federated Learning!

Asynchronous Federated Learning MNIST Image Classifier using Convolutional Neural-Network

This is a semi-asynchronous federated learning, completed for the paper"ASFL: Adaptive Semi-asynchronous Federated Learning for Balancing Model Accuracy and Total Latency in Mobile Edge Networks"

Asynchronous Federated Learning implementation with python/rabbitmq

Asynchronous Federated Learning Experiments

This is the code of paper entitled "AFM3D: An Asynchronous Federated Meta-learning Framework for Driver Distraction Detection".

Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation

In this repository, I start to establish a asynchronous federated learning framework for demands of experiments and open source

[IEEE ICPADS'23] AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation

[RTSS 2023] GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning Using Version Control