eyp / federated-learning-networkLinks
Provides a way to create a distributed system for training Machine Learning models with Federated Learning paradigm.
☆16Updated last year
Alternatives and similar repositories for federated-learning-network
Users that are interested in federated-learning-network are comparing it to the libraries listed below
Sorting:
- P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, maki…☆113Updated last week
- Material workbench for the master-level course CS-E4740 "Federated Learning"☆142Updated 2 weeks ago
- Handy PyTorch implementation of Federated Learning (for your painless research)☆449Updated last year
- Investigating Split Learning and Federate Learning☆84Updated 5 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆192Updated 5 months ago
- An Open Framework for Federated Learning.☆802Updated last week
- Simple simulation of federated learning (FedAvg) using Flower framework☆23Updated 3 years ago
- A simplified library for decentralized, privacy preserving machine learning☆349Updated 10 months ago
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆262Updated last year
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆112Updated 4 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆732Updated 3 months ago
- 📦 Collect some Asynchronous Federated Learning papers.☆116Updated 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☆172Updated 2 years ago
- Python module for simulating gossip learning.☆40Updated last year
- Implementation of dp-based federated learning framework using PyTorch☆307Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆175Updated 4 years ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆708Updated 10 months ago
- Federated Learning for Artificial Intelligence and Machine Learning☆17Updated 2 months ago
- ☆96Updated 3 years ago
- Contains codes for my published tutorials☆31Updated 2 years ago
- ☆174Updated 10 months ago
- Leaf: A Benchmark for Federated Settings☆887Updated 2 years ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆400Updated last year
- Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"☆79Updated 2 years ago
- Privacy Preserving Vertical Federated Learning☆218Updated 2 years ago
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆693Updated 2 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆163Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆146Updated 3 years ago
- PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).☆111Updated 3 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆241Updated last year