Zhaoxian-Wu / IOS
Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"
☆18Updated 10 months ago
Alternatives and similar repositories for IOS:
Users that are interested in IOS are comparing it to the libraries listed below
- This Matlab package solves federated learning problems via inexact ADMM☆25Updated 2 months ago
- ☆28Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆20Updated 11 months ago
- Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".☆14Updated last year
- ☆23Updated 3 years ago
- ☆18Updated 4 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆17Updated 2 years ago
- ☆31Updated 2 years ago
- Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients☆16Updated 4 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 4 years ago
- This Matlab package solves federated learning problems via gradient descent and inexact ADMM☆11Updated 2 months ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- This repo implements FedU, a multitask learning framework for federated learning☆27Updated 2 years ago
- Pytorch implementations of some general federated optimization methods.☆37Updated 4 months ago
- ☆16Updated 4 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆41Updated 2 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆22Updated 3 years ago
- Communication-efficient decentralized SGD (Pytorch)☆23Updated 4 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆42Updated last year
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆17Updated last year
- ☆17Updated 3 years ago
- Learning from history for Byzantine Robustness☆22Updated 3 years ago
- ☆72Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆76Updated 2 years ago
- demo☆20Updated 3 years ago
- ☆24Updated 5 years ago
- Github Repo for ICML 2022 paper: Communication-Efficient Adaptive Federated Learning☆11Updated 2 years ago
- ☆9Updated 3 years ago
- Technique of Ordered Dropout as used in the paper "Fjord: Fair and accurate federated learning under heterogeneous targets with ordered d…☆11Updated 2 years ago