Zhaoxian-Wu / Byrd-SAGA
Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"
☆18Updated 4 years ago
Alternatives and similar repositories for Byrd-SAGA:
Users that are interested in Byrd-SAGA are comparing it to the libraries listed below
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- Asynchronous Federated Learning☆18Updated 3 years ago
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Updated 2 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- ☆31Updated 2 years ago
- ☆24Updated 5 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆60Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆83Updated 4 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 5 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆34Updated 8 months ago
- ☆54Updated 3 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- ☆18Updated 4 years ago
- Chain-PPFL: A Privacy-Preserving Federated Learning Framework based on Chained SMC☆30Updated 4 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆31Updated 3 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 6 months ago
- ☆17Updated 2 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆74Updated 4 years ago
- ☆26Updated 4 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆39Updated 3 years ago
- ☆28Updated 2 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 4 months ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆25Updated 3 months ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆21Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆21Updated 5 years ago
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Updated 4 years ago