关于簇联邦学习的一个小小的改进。自动确定簇个数，提高簇模型精度，缓解用户孤立的问题
☆36Apr 21, 2022Updated 3 years ago
Alternatives and similar repositories for Cluster_Federated_Learning
Users that are interested in Cluster_Federated_Learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution☆41Nov 13, 2022Updated 3 years ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Nov 16, 2022Updated 3 years ago
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Sep 1, 2021Updated 4 years ago
- This is the repository for the work "An ensemble mechanism to tackle the heterogeneity in asynchronous federated learning"☆11Nov 19, 2021Updated 4 years ago
- fully ready experiments☆39Jul 18, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆35Sep 24, 2021Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆122Oct 22, 2020Updated 5 years ago
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进…☆71Mar 29, 2023Updated 3 years ago
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆12May 21, 2021Updated 4 years ago
- Similarity Guided Model Aggregation for Federated Learning☆26Mar 22, 2022Updated 4 years ago
- This is the official implementation of Federated and Split Learning on multiple Raspberry Pi's. It is the demonstration of training the d…☆13Nov 16, 2022Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Mar 16, 2021Updated 5 years ago
- 利用联邦学习进行高校学生成绩预测研究，并使用Streamlit搭建了简易的可视化平台☆26Jun 20, 2022Updated 3 years ago
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆31Sep 24, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Blockchain federated learning☆14Sep 26, 2022Updated 3 years ago
- Membership Inference Attack on Federated Learning☆12Jan 14, 2022Updated 4 years ago
- ☆33May 14, 2022Updated 3 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 4 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆17Jan 25, 2022Updated 4 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Jun 2, 2022Updated 3 years ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆31Jan 13, 2024Updated 2 years ago
- Training Federated GANs with Theoretical Guarantees: AUniversal Aggregation Approach☆17Jan 18, 2021Updated 5 years ago
- ☆17Feb 14, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆20Apr 28, 2022Updated 3 years ago
- Asynchronous Federated Learning☆49Apr 22, 2023Updated 2 years ago
- Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".☆39Apr 4, 2023Updated 3 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆60May 9, 2023Updated 2 years ago
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆13Jul 7, 2020Updated 5 years ago
- A simple Asynchronous Federated Learning!☆11Dec 24, 2024Updated last year
- Constrainted optimization algorithms in python including linear conjugate gradient, log barrier, primal-dual interior-point methods☆12Jul 7, 2019Updated 6 years ago
- Deep neural network (DNN) implementation for inference tasks☆13Jul 4, 2019Updated 6 years ago
- Code for IEEE MLSP 2021 paper titled "Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Sp…☆12Nov 9, 2022Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆23Sep 11, 2023Updated 2 years ago
- 这是一个基于Minist数据集的横向联邦学习实现☆16Apr 14, 2021Updated 5 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆253Dec 2, 2023Updated 2 years ago
- ☆19Jan 8, 2021Updated 5 years ago
- 参考 Chat2DB 的效果，使用 chatgpt 进行自然语言翻译，然后对数据库进行操作，使用 rust 语言实现的 web 应用。☆10Jan 13, 2025Updated last year
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆28Mar 28, 2023Updated 3 years ago
- Repository containing notebooks that implement different Federated Learning algorithms using PyTorch☆12May 17, 2021Updated 4 years ago