Active Client Selection for Federated Learning
☆49Apr 18, 2023Updated 3 years ago
Alternatives and similar repositories for Active-Client-Selection-for-Communication-efficient-Federated-Learning
Users that are interested in Active-Client-Selection-for-Communication-efficient-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:
- Federated learning client selection☆22Feb 27, 2023Updated 3 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆42Jun 30, 2022Updated 4 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆49Feb 11, 2023Updated 3 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆21Dec 17, 2023Updated 2 years ago
- A generative framework for efficient client selection in federated learning☆16Nov 18, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- This is the code for my master thesis.☆19Aug 18, 2022Updated 4 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆18Mar 27, 2021Updated 5 years ago
- Implementation and results for ICTIR2021 paper: Effective and Privacy-preserving Federated Online Learning to Rank☆11Jul 24, 2021Updated 5 years ago
- Official repository for Towards Multi-modal Transformers in Federated Learning (ECCV2024)☆21Feb 4, 2025Updated last year
- ☆29Oct 24, 2023Updated 2 years ago
- ☆27Feb 26, 2023Updated 3 years ago
- 一个 轻量型联邦学习框架，支持支持本地仿真和实际部，支持通信参量、模型、数据的自由更改，支持通信及模型各种指标的观察 开发人员：Jiaxiang Geng/Songning Gao☆34Aug 5, 2024Updated 2 years ago
- Accenture Labs Federated Learning☆108Mar 13, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57May 4, 2023Updated 3 years ago
- Contribution Measurement Experiment for Federated Learning☆10Jul 20, 2022Updated 4 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆55Apr 30, 2024Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆87Feb 23, 2023Updated 3 years ago
- An unofficial PyTorch implementation of "Learning Loss for Active Learning"☆10Apr 3, 2022Updated 4 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆29Jan 7, 2023Updated 3 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆37Mar 25, 2024Updated 2 years ago
- [UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition☆33Oct 20, 2025Updated 11 months ago
- A compiled list of resources and materials for PPML☆13May 10, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- The implementation of FedMix☆11Aug 18, 2022Updated 4 years ago
- Code for publication on FL incentive mechanism design☆11Sep 12, 2024Updated 2 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆83Jul 12, 2022Updated 4 years ago
- This is the official implementation of the ICML 2023 paper "Fair yet Asymptotically Equal Collaborative Learning"☆10May 29, 2023Updated 3 years ago
- ☆34May 14, 2022Updated 4 years ago
- Official Implementation of paper "Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast"☆27Mar 24, 2026Updated 6 months ago
- [IJCNN 2021] FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning☆11Aug 21, 2021Updated 5 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆29Oct 25, 2021Updated 4 years ago
- SAFEFL: MPC-friendly Framework for Private and Robust Federated Learning☆48Aug 18, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆16Jan 18, 2023Updated 3 years ago
- A few versions of auction algorithms using Python and Google's Optimization Tools (OR-Tools) package for Python!☆14May 5, 2018Updated 8 years ago
- ☆75May 22, 2023Updated 3 years ago
- qiongwu86 / Asynchronous-Federated-Learning-Based-Mobility-aware-Caching-in-Vehicular-Edge-Computing☆90May 22, 2023Updated 3 years ago
- 提供一种解决思路，使用深度学习的方法监控和溯源比特币的交易☆18Mar 15, 2023Updated 3 years ago
- Evaluation code of our paper in IEEE Transactions on Mobile Computing: ''Joint Optimization of Base Station Clustering and Service Cachin…☆52Mar 15, 2025Updated last year
- 基于Go、Gin、Redis、Mysql、Vue、TS、Vite、ElementPlus开发的后台管理系统基础页面。admin system based on golang, gin, redis, mysql, vue, ts, vite and elementplus.☆17May 31, 2022Updated 4 years ago