diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-ClientsView on GitHub
[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
☆184Feb 27, 2023Updated 3 years ago
Alternatives and similar repositories for HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients
Users that are interested in HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆68Aug 27, 2024Updated last year
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆19Dec 4, 2022Updated 3 years ago
- Code for ScaleFL☆34Dec 11, 2025Updated 7 months ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆46Apr 12, 2023Updated 3 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆138Oct 27, 2021Updated 4 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.
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆83Jul 12, 2022Updated 4 years ago
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆96May 9, 2022Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆166Jun 3, 2021Updated 5 years ago
- Code and data accompanying the FedGen paper☆263Oct 31, 2024Updated last year
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆29Jan 7, 2023Updated 3 years ago
- ☆14Mar 13, 2023Updated 3 years ago
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,147Jan 25, 2026Updated 6 months ago
- ☆12Dec 26, 2024Updated last year
- This repository contains the official implementation of the paper entitled with "FedAPEN: Personalized Cross-silo Federated Learning with…☆14Dec 4, 2023Updated 2 years ago
- 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.
- Codebase for An Efficient Framework for Clustered Federated Learning.☆123Oct 22, 2020Updated 5 years ago
- ☆29May 26, 2023Updated 3 years ago
- The official implementation of paper "Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors…☆16Jun 14, 2024Updated 2 years ago
- Federated Dynamic Sparse Training☆31May 26, 2022Updated 4 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆190May 26, 2022Updated 4 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆733Mar 24, 2023Updated 3 years ago
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,085May 30, 2024Updated 2 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆828Oct 20, 2025Updated 9 months ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated 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.
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆228Oct 21, 2020Updated 5 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆70Jul 25, 2022Updated 4 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆35Aug 3, 2022Updated 3 years ago
- Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"☆294May 7, 2025Updated last year
- The implementation of "Personalized Edge Intelligence via Federated Self- Knowledge Distillation".☆32Nov 21, 2022Updated 3 years ago
- ☆11Dec 8, 2020Updated 5 years ago
- Federated Block Coordinate Descent (FedBCD) code for "Federated Block Coordinate Descent Scheme for Learning Global and Personalized Mode…☆16Dec 27, 2020Updated 5 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 3 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.
- ☆27Feb 26, 2023Updated 3 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆253Dec 2, 2023Updated 2 years ago
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆14Sep 22, 2024Updated last year
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆419Dec 18, 2023Updated 2 years ago
- [ICLR 2024] FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler☆24Apr 24, 2024Updated 2 years ago
- Heterogeneous Federated Learning: State-of-the-art and Research Challenges☆167Dec 26, 2024Updated last year
- A demo of end-to-end federated learning system.☆69Jun 1, 2022Updated 4 years ago