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
- ☆33Dec 3, 2019Updated 6 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…☆25Apr 3, 2021Updated 5 years ago
- Federated Reinforcement Learning☆12Jun 20, 2019Updated 7 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.
- 📦 Collect some Asynchronous Federated Learning papers.☆123Jan 11, 2024Updated 2 years ago
- 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
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆32Jul 25, 2024Updated last year
- fully ready experiments☆40Jul 18, 2022Updated 3 years ago
- ☆12Feb 10, 2021Updated 5 years ago
- Flexe - The open source federated learning for vehicular network simulation framework.☆12Oct 30, 2024Updated last year
- ☆14Mar 1, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 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
- Python-Socket，UDP，TCP，SELECT，EPOLL等的例子代码☆15Aug 20, 2017Updated 8 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 3 years ago
- ☆39Dec 8, 2022Updated 3 years ago
- Code for Federated Learning for Semantic Communication Edge Networks in Industrial IoT☆16Jul 2, 2023Updated 3 years ago
- Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".☆48Jul 12, 2024Updated last year
- ☆10Jun 19, 2023Updated 3 years ago
- 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
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆18Aug 14, 2025Updated 10 months ago
- 《大话设计模式》Go源码☆13Dec 4, 2020Updated 5 years ago
- 【TPDS 2022】Topology-Aware Neural Model for Highly Accurate QoS Prediction☆10Jul 16, 2023Updated 2 years ago
- Compare the given environment variable value across all the processes☆16Dec 5, 2024Updated last year
- A deep semi-supervised method (UATS) for medical segmentation☆14Jul 18, 2024Updated last year
- 个人小主页https://twistedw.github.io☆11Aug 23, 2021Updated 4 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
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆10Apr 29, 2020Updated 6 years ago
- Federated learning + blockchain example☆12Sep 13, 2022Updated 3 years ago
- This repository contains a list of papers on spatio-temporal graph, especially about GNNs on S-T graph.☆18Sep 8, 2023Updated 2 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 last month
- Chat with Excel / CSV Data.☆14Mar 22, 2024Updated 2 years ago
- Creative Adversarial Network-pytorch☆11Jun 30, 2018Updated 8 years ago