PysyftA library for answering questions using data you cannot see
FateAn Industrial Grade Federated Learning Framework
Front-EndFederated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/
FATE-ServingA scalable, high-performance serving system for federated learning models
easyFLAn experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).
PFL-Non-IIDThe origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…
FedLab-benchmarksStandard federated learning implementations in FedLab and FL benchmarks.
backdoors101Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
KD3AHere is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
MOONModel-Contrastive Federated Learning (CVPR 2021)
FedReIDImplementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)
fedpaFederated posterior averaging implemented in JAX
substraSubstra is a framework for traceable ML orchestration on decentralized sensitive data.
pFedMePersonalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
GrouProxFedGroup, A Clustered Federated Learning framework based on Tensorflow
decentralized-mlFull stack service enabling decentralized machine learning on private data
federated-learning-pocProof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.
srijan-gsoc-2020Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers
PyVerticalPrivacy Preserving Vertical Federated Learning
flPapersPaper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary
distributed-learning-contributivitySimulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
PyAriesFLFederated Learning on HyperLedger Aries
FedNLPFedNLP: An Industry and Research Integrated Platform for Federated Learning in Natural Language Processing, Backed by FedML, Inc. The Previous Research Version is Accepted to NAACL 2022
DBADBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
FEDLFEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)
federatedBachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data
CRFLCRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)
FedFusionThe implementation of "Towards Faster and Better Federated Learning: A Feature Fusion Approach" (ICIP 2019)
FedScaleFedScale is a scalable and extensible open-source federated learning (FL) platform.
NIID-BenchFederated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
FedDANEFedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)
DeML-GolemProof Of Concept of DEcentralised Machine Learning on top of the Golem (https://golem.network/) architecture
FedDASource code for 'Dual Attention Based FL for Wireless Traffic Prediction'