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fl_partial_personalization

Federated Learning with Partial Model Personalization

flexcfl

FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.

flexifed

flis

FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution

flower

Flower - A Friendly Federated Learning Framework

flsim

Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.

flt

heterofl

HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

ifca

Codebase for An Efficient Framework for Clustered Federated Learning.

iot-hd-reading-group

Collections of paper reviews in SEELab, related to IoT/HD/ML etc.

knn-per

Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)

kt-pfl

leaf

Leaf: A Benchmark for Federated Settings

lg-fedavg

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

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

lp-proj

mifa_code

mjfl-simulation-paddle

Efficient Device Scheduling with Multi-Job Federated Learning

moon

Model-Contrastive Federated Learning (CVPR 2021)

motley

A collection of Google research projects related to Federated Learning and Federated Analytics.

multi-center-fed-learning

fully ready experiments

oort

Oort: Efficient Federated Learning via Guided Participant Selection

pacfl

Official Code for PACFL

perfedmask

pfedgp

Code for Personalized Federated Learning with Gaussian Processes

pfedme

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

pfl-non-iid

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

pgfed

This repository contains the code for the paper accepted by ICCV-2023: PGFed: Personalize Each Client’s Global Objective for Federated Learning.

plato

A new scalable federated learning research framework

progfed

[ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training