Koukyosyumei / NAIST-FedML-Experiments
☆19Updated 3 years ago
Alternatives and similar repositories for NAIST-FedML-Experiments
Users that are interested in NAIST-FedML-Experiments are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 7 months ago
- ☆36Updated 3 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆33Updated 4 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 11 months ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆11Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated 11 months ago
- ☆19Updated last year
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 3 years ago
- reveal the vulnerabilities of SplitNN☆31Updated 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
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆41Updated 3 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- Asynchronous Federated Learning☆19Updated 3 years ago
- Python module for simulating gossip learning.☆40Updated last year
- This repository presents a blockchain-based framework, TrustFed, for Cross-Device Federated Learning systems to detect the model poisonin…☆12Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆33Updated 4 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆48Updated 2 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆48Updated last year
- ☆29Updated 2 years ago
- Learning from history for Byzantine Robustness☆23Updated 3 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆27Updated 4 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆46Updated 2 years ago
- A sybil-resilient distributed learning protocol.☆104Updated last year
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆82Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆56Updated 2 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 5 years ago
- ☆12Updated 2 years ago
- reproduce the FLTrust model based on the paper "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping"☆29Updated 2 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆63Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago