Decentralized federated learning of deep neural networks on non-iid data
☆45Jun 9, 2022Updated 3 years ago
Alternatives and similar repositories for dfl-pens
Users that are interested in dfl-pens are comparing it to the libraries listed below
Sorting:
- 完全去中心化联邦学习☆31Aug 15, 2023Updated 2 years ago
- Python module for simulating gossip learning.☆40Jan 25, 2024Updated 2 years ago
- DeceFL: A Principled Decentralized Federated Learning Framework☆29Jan 25, 2023Updated 3 years ago
- NEBULA: A Platform for Decentralized Federated Learning☆76Dec 10, 2025Updated 2 months ago
- A decentralised federated learning simulator☆14Oct 20, 2024Updated last year
- 🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.☆23Aug 19, 2022Updated 3 years ago
- DFL working group☆32May 14, 2024Updated last year
- [IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks☆41Apr 4, 2023Updated 2 years ago
- This is the official implementation of the IJCAI 2024 paper "FedPFT: Federated Proxy Fine-Tuning of Foundation Models".☆26Apr 28, 2024Updated last year
- Reproduce Paper "Federated Learning with Non-IID Data"☆10May 3, 2021Updated 4 years ago
- Decentralized Deep Learning Simulator☆23Oct 3, 2023Updated 2 years ago
- P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, maki…☆147Updated this week
- Source code for the paper "Asynchronous Federated Optimization"☆26Jul 23, 2022Updated 3 years ago
- FeGAN: Scaling Distributed GANs☆13Dec 31, 2020Updated 5 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆29Jan 7, 2023Updated 3 years ago
- A powerful framework for decentralized federated learning with user-defined communication topology☆12Dec 14, 2021Updated 4 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Jul 25, 2024Updated last year
- FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis, Accept…☆21Feb 19, 2025Updated last year
- Fedstellar: A Platform for Decentralized Federated Learning☆15Jul 12, 2024Updated last year
- Implementation of asynchronous federated learning in flower.☆20Jul 27, 2024Updated last year
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆32Oct 10, 2022Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆63Oct 9, 2023Updated 2 years ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆69Nov 24, 2022Updated 3 years ago
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆17Jan 25, 2022Updated 4 years ago
- Geometric median in Python☆13Apr 7, 2016Updated 9 years ago
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆20Apr 26, 2021Updated 4 years ago
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆75Sep 10, 2020Updated 5 years ago
- [NeurIPS 2022] SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training☆42Jul 19, 2023Updated 2 years ago
- ☆21Nov 10, 2023Updated 2 years ago
- Hierarchical Federated Learning with Quantization of Deep Networks from Decentralized Data☆18Jul 28, 2020Updated 5 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆143Jun 7, 2020Updated 5 years ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆83Dec 10, 2021Updated 4 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆122Oct 22, 2020Updated 5 years ago
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆179Feb 27, 2023Updated 3 years ago
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆20Jul 25, 2023Updated 2 years ago
- Federated learning using a mixture of experts☆17Feb 16, 2021Updated 5 years ago
- Federated Learning package☆21Aug 16, 2021Updated 4 years ago
- flame is a federated learning system for edge with flexibility and scalability at the core of its design.☆61Nov 6, 2025Updated 4 months ago
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆82Apr 25, 2022Updated 3 years ago