IBM / federated-learning-lib
A library for federated learning (a distributed machine learning process) in an enterprise environment.
☆505Updated last year
Alternatives and similar repositories for federated-learning-lib:
Users that are interested in federated-learning-lib are comparing it to the libraries listed below
- Leaf: A Benchmark for Federated Settings☆882Updated 2 years ago
- resources about federated learning and privacy in machine learning☆535Updated 10 months ago
- Privacy Preserving Vertical Federated Learning☆216Updated last year
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆717Updated 9 months ago
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆475Updated last year
- Simulate a federated setting and run differentially private federated learning.☆376Updated last month
- A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.☆182Updated 4 years ago
- Implementation of dp-based federated learning framework using PyTorch☆301Updated 2 years ago
- FedScale is a scalable and extensible open-source federated learning (FL) platform.☆396Updated last year
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆259Updated 8 months ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆338Updated 3 years ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆693Updated 6 months ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆764Updated 8 months ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆295Updated 3 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆247Updated last year
- Federated Learning Utilities and Tools for Experimentation☆189Updated last year
- A curated list of resources dedicated to federated learning.☆104Updated 3 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆515Updated 7 months ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆594Updated last year
- Federated Optimization in Heterogeneous Networks (MLSys '20)☆680Updated 2 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆293Updated 9 months ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆1,954Updated 2 years ago
- On the Convergence of FedAvg on Non-IID Data☆267Updated 2 years ago
- Federated Deep Learning in PaddlePaddle☆504Updated last year
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,338Updated 11 months ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆236Updated 9 months ago
- ☆168Updated 7 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆275Updated last year
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft☆57Updated 4 years ago