[KDD 2024] Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination

Personalized federated learning simulation platform with non-IID and unbalanced dataset

Benchmark of federated learning. Dedicated to the community. 🤗

This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity".

Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"

Leaf: A Benchmark for Federated Settings

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

DeceFL: A Principled Decentralized Federated Learning Framework

A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017

Implement FedAvg algorithm based on Tensorflow

CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.

Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf