csl-cqu / Roubst-and-Privacy-preserving-Federated-Learning-SystemView external linksLinks
☆13Sep 12, 2021Updated 4 years ago
Alternatives and similar repositories for Roubst-and-Privacy-preserving-Federated-Learning-System
Users that are interested in Roubst-and-Privacy-preserving-Federated-Learning-System are comparing it to the libraries listed below
Sorting:
- AutoML, Privacy Preserving, Federated Learning☆26Jun 8, 2023Updated 2 years ago
- Code for the DP cross-silo federated learning paper☆11Jul 10, 2020Updated 5 years ago
- NN-EMD framework: efficiently training neural networks using encrypted multi-sourced datasets☆14Jun 6, 2021Updated 4 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Feb 4, 2022Updated 4 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 4 years ago
- DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation☆16Jul 13, 2020Updated 5 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Jun 2, 2022Updated 3 years ago
- ☆24Nov 11, 2022Updated 3 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆25Sep 28, 2024Updated last year
- Proof of concept for CryptoDL made for BigSec course @ EURECOM☆19May 14, 2019Updated 6 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Jun 12, 2023Updated 2 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆37Aug 7, 2025Updated 6 months ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆24Jun 9, 2020Updated 5 years ago
- MPC Secure Multiparty Computation. A three-party secret-sharing-based vertical federated learning setting. The data are vertically parti…☆24Jul 1, 2019Updated 6 years ago
- JOUR7280 Big Data Analytics for Media and Communication from HKBU☆11Aug 31, 2022Updated 3 years ago
- Secure Aggregation for Federated Learning with Malicious Actors☆28Dec 6, 2022Updated 3 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆28Oct 25, 2021Updated 4 years ago
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆27Apr 9, 2021Updated 4 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆32Jun 16, 2022Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆37Jul 16, 2020Updated 5 years ago
- Implementation of Federated Learning and Blockchain for training machine learning models using a decentralized approach thereby attemptin…☆31Aug 21, 2021Updated 4 years ago
- Privacy-preserving Deep Learning based on homomorphic encryption (HE)☆35Nov 8, 2021Updated 4 years ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆155Feb 16, 2025Updated last year
- Dopamine: Differentially Private Federated Learning on Medical Data (AAAI - PPAI)☆76Feb 9, 2025Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆85Feb 23, 2023Updated 2 years ago
- ☆37Dec 23, 2025Updated last month
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆40Apr 4, 2023Updated 2 years ago
- Research simulation toolkit for federated learning☆13Nov 7, 2020Updated 5 years ago
- ☆10Jul 22, 2024Updated last year
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Feb 8, 2021Updated 5 years ago
- ☆14May 17, 2024Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆39May 28, 2024Updated last year
- Secure Inference Resilient Against Malicious Clients☆15May 3, 2022Updated 3 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Nov 19, 2021Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆44Oct 29, 2021Updated 4 years ago
- ☆14Dec 18, 2024Updated last year
- Blockchain-based Federated Learning Utilizing Zero-Knowledge Proofs for Verifiable Training and Aggregation☆14Dec 26, 2024Updated last year
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- Source Code of Efficient and Security-Enhanced Certificateless Aggregate Signature-Based Authentication Scheme with Conditional Privacy P…☆12Dec 27, 2023Updated 2 years ago