pps-lab / fl-analysis
☆28Updated 2 years ago
Alternatives and similar repositories for fl-analysis:
Users that are interested in fl-analysis are comparing it to the libraries listed below
- A simple Python implementation of a secure aggregation protocole for federated learning.☆35Updated last year
- A secure aggregation system for private federated learning☆39Updated 11 months ago
- IEEE TIFS'20: VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning☆23Updated 2 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆23Updated 3 years ago
- This is an implementation for paper "A Hybrid Approach to Privacy Preserving Federated Learning" (https://arxiv.org/pdf/1812.03224.pdf)☆21Updated 4 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆10Updated 3 years ago
- ☆31Updated 5 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆37Updated last year
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Updated last year
- Eluding Secure Aggregation in Federated Learning via Model Inconsistency☆12Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆32Updated 2 years ago
- ☆32Updated last year
- personal implementation of secure aggregation protocol☆43Updated last year
- Secure Aggregation for FL☆34Updated last year
- Secure Aggregation for Federated Learning with Malicious Actors☆24Updated 2 years ago
- An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawit…☆84Updated 5 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆23Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆72Updated 3 years ago
- Learning from history for Byzantine Robustness☆22Updated 3 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆44Updated last year
- ☆54Updated 2 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- ☆38Updated 4 years ago
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption☆69Updated 4 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆80Updated 2 years ago
- Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning☆27Updated 2 months ago
- OLIVE: Oblivious and Differentially Private Federated Learning on TEE☆15Updated last year
- A sybil-resilient distributed learning protocol.☆103Updated last year
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago