sunjunaimer / LAQ
Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
☆16Updated 4 years ago
Alternatives and similar repositories for LAQ:
Users that are interested in LAQ are comparing it to the libraries listed below
- ☆31Updated 2 years ago
- LAG code for NeurIPS 2018☆9Updated 5 years ago
- ☆54Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago
- ☆38Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆34Updated 7 months ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆38Updated 2 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆16Updated 5 years ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆45Updated last year
- ☆18Updated 4 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago
- A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)☆20Updated last year
- Codebase for An Efficient Framework for Clustered Federated Learning.☆109Updated 4 years ago
- ☆28Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆45Updated 2 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 4 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆74Updated 2 years ago
- Accenture Labs Federated Learning☆96Updated 10 months ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆47Updated 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
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 3 months ago
- ☆25Updated 5 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆20Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆34Updated last year
- demo☆20Updated 3 years ago