INET-RC / GeoMXLinks
GeoMX: A fast and unified system for distributed machine learning over geo-distributed data centers.
☆121Updated last year
Alternatives and similar repositories for GeoMX
Users that are interested in GeoMX are comparing it to the libraries listed below
Sorting:
- Oort: Efficient Federated Learning via Guided Participant Selection☆129Updated 4 years ago
- Plato: A Research Framework for Federated Learning☆383Updated last week
- A demo of end-to-end federated learning system.☆69Updated 3 years ago
- A simulation framework for Federated Learning written in PyTorch☆206Updated 3 years ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆403Updated last year
- ☆47Updated 3 years ago
- ☆30Updated 5 years ago
- ☆198Updated last year
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆225Updated last year
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 3 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆223Updated 5 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆611Updated last year
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 6 years ago
- ☆180Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆64Updated last year
- 联邦学习模块化框架,支持各类FL。A universal federated learning framework, free to switch thread and process modes☆175Updated 5 months ago
- Federated Learning Systems Paper List☆75Updated last year
- Hey,this is a torch implementation of LEAF(a benchmark of FL)☆23Updated 4 years ago
- ☆209Updated last year
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆174Updated 2 years ago
- ☆96Updated 4 years ago
- ☆161Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆242Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆805Updated 3 weeks ago
- ☆75Updated 5 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆304Updated 3 years ago
- Releasing the source code Version1.☆172Updated 4 years ago
- An easy-to-use federated learning platform☆299Updated 2 years ago
- An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster …☆29Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆82Updated 3 years ago