drmhrehman / trustfed
This repository presents a blockchain-based framework, TrustFed, for Cross-Device Federated Learning systems to detect the model poisoning attacks, enable fair training settings, and maintain the participating devices' reputation. TrustFed provides fairness by detecting and removing the attackers from the training distributions. It uses blockcha…
☆11Updated 2 years ago
Alternatives and similar repositories for trustfed:
Users that are interested in trustfed are comparing it to the libraries listed below
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆21Updated last year
- We will implement this framework.☆30Updated 2 years ago
- Implementation of Federated Learning and Blockchain for training machine learning models using a decentralized approach thereby attemptin…☆31Updated 3 years ago
- Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation☆5Updated 2 years ago
- Asynchronous Federated Learning☆44Updated last year
- 完全去中心化联邦学习☆23Updated last year
- BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning☆31Updated 4 years ago
- Asynchronous Federated Learning☆18Updated 3 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- This project used Flower, Go Ethereum, IPFS, Web3, digital signature and socket to implement blockchain-based federated learning.☆31Updated 2 years ago
- Blockchain federated learning☆14Updated 2 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆25Updated 2 years ago
- Blockchain federated learning simulate by python☆10Updated last year
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆21Updated 3 years ago
- The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"☆32Updated 3 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆28Updated 2 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- Decentralized federated machine learning using peer-to-peer networks☆10Updated last year
- ☆17Updated last year
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆29Updated 3 years ago
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆11Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆35Updated last year
- ☆77Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆34Updated 8 months ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 4 years ago
- ☆31Updated 2 years ago
- Implicit Model Specialization through DAG-based Decentralized Federated Learning☆19Updated 3 years ago
- The Project's goal is to simulate a decentralised approach to building machine learning models while protecting the privacy of users.☆17Updated 3 years ago
- Federated learning + blockchain example☆11Updated 2 years ago
- Implementation of the ChainsFL.☆35Updated 3 years ago