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

Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Privacy Testing for Deep Learning

Detect Sensitive REST API communication using Deep Neural Networks

The implementation of "Towards Faster and Better Federated Learning: A Feature Fusion Approach" (ICIP 2019)

FedNLP: 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

Paper 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

Offline Dictionary-based Compression (Re-Pair, Recursive Pairing)

DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

the safest place to reach out

Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)

Keep your sensitive information out of chat logs, emails, and more with encrypted secrets.

FedScale is a scalable and extensible open-source federated learning (FL) platform.

Extended-precision modular arithmetic library that targets CUDA.

A repository of telemetry domains and URLs used by mobile location tracking, user profiling, targeted marketing and aggressive ads libraries.

A unique tool that blurs your device’s unique font fingerprint by continuously installing and uninstalling new fonts that are generated on the fly.

FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)

EasyList Tracker and Adblocks to Proxy Auto Configuration (PAC) File and Privoxy Actions and Filters

Proof Of Concept of DEcentralised Machine Learning on top of the Golem (https://golem.network/) architecture

Python bindings for the fast integer compression library FastPFor.

A free, open-source compressor for the ZX0 format

Image Compression Algorithm

电力人工智能数据竞赛——安全帽未佩戴行为目标检测赛道基准模型

Experimental parallel compression algorithm

x – minimalist data compressor

FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)

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

The Gretel Python Client allows you to interact with the Gretel REST API.

Free open-source compressor for apLib with 5-7% better ratios

Privacy resources for the layperson. Highlights resources, tools, VPNs, search engines, articles, books, and dark patterns.

Browser extension for opting out from the sale and sharing of personal information per the California Consumer Privacy Act and other privacy laws

The core runtime engine for Ambianic Edge devices.

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

tf implementation of federated learning

Example of LZ4 compression with optimal parsing using BriefLZ algorithms

Privacy Preserving Vertical Federated Learning

Small fast Lempel-Ziv compression library

Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.

Privacy friendly voice control for the Candle Controller / WebThings Gateway

Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)

Query compiler for secure multi-party computation.

Federated Principal Component Analysis Revisited!

A C++ compression program based on Huffman's lossless compression algorithm and decoder.

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.

Lepton is a tool and file format for losslessly compressing JPEGs by an average of 22%.

PrivacyQA, a resource to support question-answering over privacy policies.

LZ77(LZSS) based compression algorithm in base62 for JavaScript.

Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers

Django middleware that compresses response using brotli algorithm.

A privacy-focused list of alternatives to mainstream services to help the competition.

HElib is an open-source software library that implements homomorphic encryption. It supports the BGV scheme with bootstrapping and the Approximate Number CKKS scheme. HElib also includes optimizations for efficient homomorphic evaluation, focusing on effective use of ciphertext packing techniques and on the Gentry-Halevi-Smart optimizations.

An efficient, user-friendly, modular, and extensible framework for mixed-protocol secure multi-party computation with two or more parties

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.

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).

SafePad : Encrypted Text Editor. This text editor uses very strong encryption to let you protect your secrets. Great for storing passwords, credit card details or any else that you want to keep safe.

Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.

Privacy details of SDKs for Apple Privacy Nutrition & Google Safety Section disclosure.