A project for simulation of Asynchronous Federated Learning
☆21Sep 1, 2021Updated 5 years ago
Alternatives and similar repositories for fedsimul
Users that are interested in fedsimul are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆10Nov 19, 2021Updated 4 years ago
- A simple Asynchronous Federated Learning!☆11Dec 24, 2024Updated last year
- simulation of the asynchronous federated learning system of paper "Asynchronous Federated Optimization"☆22Nov 19, 2021Updated 4 years ago
- 🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.☆22Aug 19, 2022Updated 4 years ago
- [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training☆13Apr 28, 2025Updated last year
- 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.
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Sep 1, 2021Updated 5 years ago
- Source code for the paper "Asynchronous Federated Optimization"☆27Jul 23, 2022Updated 4 years ago
- Code for the paper "Knowledge-Aware Federated Active Learning with Non-IID Data", ICCV2023☆10Sep 8, 2023Updated 3 years ago
- This is my B. Tech project on Autonomous Driving Vehicles☆10May 11, 2021Updated 5 years ago
- 嵌入式Linux —— 解救之道，就在其中☆11Jun 4, 2025Updated last year
- Code of Paper "Cooperative Sensing and Uploading for Quality-Cost Tradeoff of Digital Twins in VEC", IEEE TCE, 2024.☆14Jul 10, 2023Updated 3 years ago
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆42Apr 4, 2023Updated 3 years ago
- ☆18Sep 23, 2022Updated 4 years ago
- A DDPG methord for vehicle controled based on DDPG☆17Feb 28, 2022Updated 4 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.
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆143Jun 7, 2020Updated 6 years ago
- fully ready experiments☆40Jul 18, 2022Updated 4 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆61Oct 9, 2023Updated 3 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42May 21, 2021Updated 5 years ago
- Exploiting Label Skew in Federated Learning with Model Concatenation (AAAI 2024)☆13Dec 16, 2023Updated 2 years ago
- ☆75Oct 30, 2020Updated 6 years ago
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆41Nov 13, 2022Updated 3 years ago
- Implementation of asynchronous federated learning in flower.☆21Jul 27, 2024Updated 2 years ago
- Code for AAAI 2019 Network Interpretability workshop paper☆16Jul 5, 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.
- [TMLR23] FedDAG: Federated DAG Structure Learning☆20Jan 7, 2023Updated 3 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆35Aug 3, 2022Updated 4 years ago
- MXNet/Gluon implement of L-GM-Loss☆11Oct 17, 2018Updated 8 years ago
- ☆10Apr 27, 2023Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆166Jun 3, 2021Updated 5 years ago
- 📦 Collect some Asynchronous Federated Learning papers.☆123Jan 11, 2024Updated 2 years ago
- A computation-parallel deep learning architecture.☆13Sep 25, 2019Updated 7 years ago
- ☆10Mar 24, 2023Updated 3 years ago
- Formal Verification of Telegram's MTProto 2.0☆15Jan 19, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- PyTorch implementation of "Learning from Students: Online Contrastive Distillation Network for General Continual Learning" (IJCAI 2022)☆11Dec 29, 2022Updated 3 years ago
- ☆22Jan 25, 2023Updated 3 years ago
- Federated Adversrial Learning/ Training Framework. A testing ground for conducting relevant research.☆11Oct 9, 2022Updated 4 years ago
- Proxy-Supervised Joint Training for Real Target Speaker Extraction☆19Oct 22, 2026Updated 2 weeks ago
- ☆19Aug 21, 2024Updated 2 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 7 years ago
- Code for the DP cross-silo federated learning paper☆11Jul 10, 2020Updated 6 years ago