The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"
☆17Mar 26, 2023Updated 3 years ago
Alternatives and similar repositories for QuAFL
Users that are interested in QuAFL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Q-RR, DIANA-RR, Q-NASTYA, NASTYA-DIANA, QSGD, DIANA, FedCOM and FedPAQ on logistic loss with L2 regularization☆11Nov 1, 2022Updated 3 years ago
- ☆14Mar 13, 2023Updated 3 years ago
- An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clien…☆24Apr 3, 2021Updated 5 years ago
- Asynchronous Federated Learning☆19Oct 5, 2021Updated 4 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆124Jan 11, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- 机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格…☆10Feb 25, 2020Updated 6 years ago
- Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.☆21Aug 30, 2023Updated 2 years ago
- 基于强化学习的异构感知高能效联邦学习调度系统☆15Apr 13, 2024Updated 2 years ago
- fully ready experiments☆40Jul 18, 2022Updated 3 years ago
- ☆12Feb 10, 2021Updated 5 years ago
- 自己动手实现的联邦学习相关代码☆10Oct 3, 2021Updated 4 years ago
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆18May 5, 2026Updated 2 weeks ago
- We propose an evolution-based approach to meta-learn synthetic neural environments and reward neural networks for reinforcement learning.☆21Feb 23, 2023Updated 3 years ago
- Welcome to FLSim_V2, a PyTorch based federated Reinforcement learning simulation framework☆10Dec 15, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 3 years ago
- ☆39Dec 8, 2022Updated 3 years ago
- ☆10Aug 19, 2023Updated 2 years ago
- Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".☆48Jul 12, 2024Updated last year
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆54Apr 30, 2024Updated 2 years ago
- 🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.☆23Aug 19, 2022Updated 3 years ago
- A Beamer Theme of UCAS for academic report, thesis and talk.☆19Oct 12, 2024Updated last year
- ☆15Dec 1, 2023Updated 2 years ago
- Few-shot text classification with meta learning and BERT☆11Jun 14, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 《大话设计模式》Go源码☆13Dec 4, 2020Updated 5 years ago
- ☆17Feb 7, 2024Updated 2 years ago
- Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent☆10Nov 19, 2020Updated 5 years ago
- Personalized Client-Edge-Cloud Hierarchical Federated Learning on Non-IID Data☆11Sep 7, 2023Updated 2 years ago
- ☆10Apr 29, 2020Updated 6 years ago
- Federated learning + blockchain example☆12Sep 13, 2022Updated 3 years ago
- THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression☆19Jul 30, 2024Updated last year
- Countdowns to top Networking and Measurement conference deadlines.☆19May 9, 2026Updated 2 weeks ago
- ☆73Jan 23, 2026Updated 4 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Examples to control the Opal C1 from within python.☆17May 7, 2023Updated 3 years ago
- vpn develop☆18Oct 27, 2019Updated 6 years ago
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆42Jul 28, 2022Updated 3 years ago
- Beat for traceroute command☆14Oct 5, 2018Updated 7 years ago
- 关于Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee这篇论文的详细代码解读☆11Dec 27, 2023Updated 2 years ago
- Code Used for Fall 2019 Business Data Science Final Project, where our team developed a predictive model to see if customers would purcha…☆10Sep 3, 2020Updated 5 years ago
- Github Repo for ICML 2022 paper: Communication-Efficient Adaptive Federated Learning☆10Nov 18, 2022Updated 3 years ago