Crab: Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning
☆28May 27, 2024Updated 2 years ago
Alternatives and similar repositories for Adaptive_Recovery
Users that are interested in Adaptive_Recovery are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [AAAI 2025] This repo is the official implementation of paper "SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning"☆25Apr 20, 2025Updated last year
- Contains the source code of our Middleware'24 paper "QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation"☆16Oct 2, 2024Updated last year
- [ICLR 2025] Official implementation for "Bad-PFL: EXPLORING BACKDOOR ATTACKS AGAINST PERSONALIZED FEDERATED LEARNING"☆17Feb 14, 2025Updated last year
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆13Mar 10, 2023Updated 3 years ago
- FLTracer: Accurate Poisoning Attack Provenance in Federated Learning☆26Jun 14, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆23Sep 11, 2023Updated 2 years ago
- ☆11Jan 9, 2022Updated 4 years ago
- [ECCV'24] UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening☆10Dec 18, 2025Updated 8 months ago
- Blockchain-based Federated Learning Utilizing Zero-Knowledge Proofs for Verifiable Training and Aggregation☆14Dec 26, 2024Updated last year
- Code for Data Poisoning Attacks Against Federated Learning Systems☆210Jun 13, 2021Updated 5 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- Decentralized federated machine learning using peer-to-peer networks☆12Apr 11, 2023Updated 3 years ago
- ☆22Dec 14, 2023Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Feb 16, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for Neural Networks journal paper - StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic cl…☆13Apr 28, 2024Updated 2 years ago
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Sep 4, 2024Updated last year
- ☆11Oct 28, 2021Updated 4 years ago
- ☆42Feb 7, 2024Updated 2 years ago
- Official code for "Federated learning for heterogeneous electronic health record systems with cost effective participant selection"☆13Feb 11, 2026Updated 6 months ago
- A collection of leetcode, codewars and hackerrank questions☆11Sep 15, 2023Updated 2 years ago
- (AAAI-24) Federated Learning via Input-Output Collaborative Distillation☆11Dec 28, 2023Updated 2 years ago
- Implementation of a client reputation, gradient checking and homomorphic encryption mechanism to defend a federated learning system from …☆17Jan 11, 2024Updated 2 years ago
- ☆13Jan 12, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- VeryFL is an experimental federated leraning framework embedded with blockchain☆120Jan 21, 2025Updated last year
- Distributed data eXchange Framework,which allows to build data marketplaces .☆20May 6, 2019Updated 7 years ago
- Official implementation for paper "FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning" (NeurIPS 2023).☆13Oct 25, 2024Updated last year
- A Survey on Vulnerability of Federated Learning: An Algorithm Perspective☆19May 30, 2024Updated 2 years ago
- Code for "Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning", IEEE Transactions on Computers☆13Mar 12, 2026Updated 5 months ago
- ☆10Apr 21, 2022Updated 4 years ago
- Simulation code for the paper "FedSL: Federated Split Learning for Collaborative Healthcare Analytics on Resource-Constrained Wearable Io…☆17Feb 2, 2024Updated 2 years ago
- ☆17Feb 7, 2024Updated 2 years ago
- This is an implementation demo of the IJCAI 2022 paper [Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation …☆21Nov 9, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).☆16Jul 6, 2024Updated 2 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Oct 28, 2023Updated 2 years ago
- Welcome to the Partially Decryptable Ciphertext Policy Attribute-Based Encryption (CP-ABE) Scheme! This repo implements a CP-ABE scheme t…☆13Jul 17, 2025Updated last year
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆23Oct 12, 2023Updated 2 years ago
- The official implementation for the paper: "FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification",…☆19Dec 24, 2023Updated 2 years ago
- Implementation of FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning☆20Jan 4, 2024Updated 2 years ago
- [NeurIPS 2024] Official implementation of the paper “Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity"☆30Feb 13, 2026Updated 6 months ago