91 Open source projects that are alternatives of or similar to decentralized-ml

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

The Intel Homomorphic Encryption (HE) toolkit is the primordial vehicle for the continuous distribution of the Intel HE technological innovation to users. The toolkit has been designed with usability in mind and to make it easier for users to evaluate and deploy homomorphic encryption technology on the Intel platforms.

A privacy and security engineering toolkit: Discover, understand, pseudonymize, anonymize, encrypt and securely share sensitive and personal data: Privacy and security as code.

MixEth: efficient, trustless coin mixing service for Ethereum

primitives and protocols for implementing privacy preserving networks

Automate hosts file updates on Linux and MacOS. Block Firefox telemetry, Google snooping and web trackers at the root.

A simplified library for decentralized, privacy preserving machine learning

Wor is a Powershell script to harden, debloat, optimize, enhance privacy, avoid fingerprinting and improve performance on Windows 10 and 11.

This repository allows you to anonymize sensitive information in images/videos. The solution is fully compatible with the DL-based training/inference solutions that we already published/will publish for Object Detection and Semantic Segmentation.

Convert adblock config files to privoxy format

A library for answering questions using data you cannot see

A curated list of references for MLOps

An Industrial Grade Federated Learning Framework

电力人工智能数据竞赛——液压吊车目标检测赛道

The repo for the FeTS Challenge

Federated gradient boosted decision tree learning

Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/

A scalable, high-performance serving system for federated learning models

An 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).

Federated Learning mini-framework with Keras

The 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…

Standard federated learning implementations in FedLab and FL benchmarks.

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

Model-Contrastive Federated Learning (CVPR 2021)

Implementation of Federated Learning to Person Re-identification (Code for ACMMM 2020 paper)

Federated posterior averaging implemented in JAX

Substra is a framework for traceable ML orchestration on decentralized sensitive data.

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

FedGroup, A Clustered Federated Learning framework based on Tensorflow

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning