aelgabli / FedNew
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
☆17Updated 2 years ago
Alternatives and similar repositories for FedNew:
Users that are interested in FedNew are comparing it to the libraries listed below
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Updated 3 years ago
- Asynchronous Federated Learning☆19Updated 3 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 4 years ago
- ☆30Updated 2 years ago
- ☆23Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆38Updated 2 years ago
- ☆18Updated 4 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆28Updated 2 years ago
- Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation☆4Updated 2 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆40Updated 2 years ago
- Supporting code for https://arxiv.org/abs/2010.00753.☆19Updated 3 years ago
- ☆14Updated 5 months ago
- Federated learning with model quantization☆16Updated 3 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆21Updated last year
- ☆18Updated last year
- IJCAI-Personalized Federated Learning with Graph☆52Updated last year
- This Matlab package solves federated learning problems via inexact ADMM☆26Updated 4 months ago
- Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"☆18Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated 11 months ago
- PyTorch implementation of Per-FedAvg (Personalized Federated Learning: A Meta-Learning Approach).☆64Updated last year
- ☆29Updated 2 years ago
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆22Updated 3 years ago
- ☆11Updated 4 years ago
- ☆24Updated 5 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆21Updated 4 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 11 months ago
- A try for federated learning with Resnet on CIFAR10 using Cloud-Edge-Client framework.☆22Updated 4 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆30Updated 2 years ago