INET-RC / GeoMXLinks
GeoMX: A fast and unified system for distributed machine learning over geo-distributed data centers.
☆120Updated last year
Alternatives and similar repositories for GeoMX
Users that are interested in GeoMX are comparing it to the libraries listed below
Sorting:
- A demo of end-to-end federated learning system.☆69Updated 3 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆131Updated 4 years ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆409Updated 2 years ago
- Plato: A Research Framework for Federated Learning☆393Updated last week
- A simulation framework for Federated Learning written in PyTorch☆209Updated 3 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Updated 3 years ago
- 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☆178Updated 8 months ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆612Updated last year
- D-DQN Reinforcement Learning for device selection in Federated Learning☆43Updated 2 years ago
- BUPTGraduateThesis提供北京邮电大学研究生学位论文LaTeX文档类,其符合北邮研究生院2014年11月发布的《关于研究生学位论文格式的统一要求》,目前已根据2017年标准修正格式、添加英文扉页,已根据2023年标准修正格式、添加答辩小组名单页,已根据2024…☆100Updated last year
- ☆48Updated 3 years ago
- ☆109Updated 4 years ago
- ☆200Updated last year
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆821Updated 3 months ago
- On the Convergence of FedAvg on Non-IID Data☆275Updated 3 years ago
- Releasing the source code Version1.☆179Updated 4 years ago
- ☆30Updated 5 years ago
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Updated 6 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆179Updated 2 years ago
- Implementation of paper "Client-Edge-Cloud Hierarchical Federated Learning☆142Updated 5 years ago
- Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Ho…☆94Updated 3 years ago
- 一个用于联邦学习或分布式机器学习,对不同网络拓扑进行实验的简易框架。☆39Updated 2 years ago
- A project for simulation of Asynchronous Federated Learning☆21Updated 4 years ago
- Federated Learning Systems Paper List☆75Updated 2 years ago
- [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan,…☆65Updated last year
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆720Updated 2 years ago
- ☆96Updated 4 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆166Updated 3 years ago
- An implementation of federated learning research baseline methods based on FedML-core, which can be deployed on real distributed cluster …☆30Updated 3 years ago