sunjunaimer / LAQ
Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients
☆16Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for LAQ
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆17Updated 4 years ago
- ☆30Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆69Updated 2 years ago
- ☆24Updated 5 years ago
- ☆17Updated 3 years ago
- ☆55Updated 3 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆17Updated 4 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆32Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- ☆27Updated last year
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆16Updated 5 years ago
- ☆23Updated 11 months ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆41Updated last year
- LAG code for NeurIPS 2018☆8Updated 5 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆43Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago
- Asynchronous Federated Learning☆17Updated 3 years ago
- ☆90Updated 3 years ago
- demo☆20Updated 3 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 …☆33Updated 5 months ago
- Decentralized federated learning of deep neural networks on non-iid data☆38Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆135Updated 2 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆105Updated 4 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 2 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆20Updated 3 years ago
- SCAFFOLD and FedAvg implementation☆59Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆37Updated 3 years ago