87 Open source projects that are alternatives of or similar to fedpa

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

Graphsignal Python agent

FedNLP: An Industry and Research Integrated Platform for Federated Learning in Natural Language Processing, Backed by FedML, Inc. The Previous Research Version is Accepted to NAACL 2022

Revisiting Rainbow

Federated Learning based Deep Learning. Docs: https://fets-ai.github.io/Front-End/

A didactic Gaussian process package for researchers in Jax.

ADAM implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things

An Industrial Grade Federated Learning Framework

JAX-based Spiking Neural Network framework

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)

Federated Learning mini-framework with Keras

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

FedScale is a scalable and extensible open-source federated learning (FL) platform.

Factor graphs and nonlinear optimization for JAX

JAX implementations of core Deep RL algorithms

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

FedGroup, A Clustered Federated Learning framework based on Tensorflow

A library for answering questions using data you cannot see

DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

The repo for the FeTS Challenge

Healthcare-Researcher-Connector Package: Federated Learning tool for bridging the gap between Healthcare providers and researchers

A scalable, high-performance serving system for federated learning models

电力人工智能数据竞赛——安全帽未佩戴行为目标检测赛道基准模型

Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

Privacy Preserving Vertical Federated Learning

The implementation of "Towards Faster and Better Federated Learning: A Feature Fusion Approach" (ICIP 2019)

Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)

Unofficial JAX implementations of deep learning research papers

Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.

Computational Fluid Dynamics in JAX

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

Federated Learning on HyperLedger Aries

Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.

Proof of Concept of a Federated Learning framework that maintains the privacy of the participants involved.

FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)

The core runtime engine for Ambianic Edge devices.

Proof Of Concept of DEcentralised Machine Learning on top of the Golem (https://golem.network/) architecture

Substra is a framework for traceable ML orchestration on decentralized sensitive data.

Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'

tf implementation of federated learning

A curated list of references for MLOps

PIX is an image processing library in JAX, for JAX.

电力人工智能数据竞赛——液压吊车目标检测赛道

Federated Principal Component Analysis Revisited!

Federated gradient boosted decision tree learning

Full stack service enabling decentralized machine learning on private data

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

A GPT, made only of MLPs, in Jax

An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

Chef Transformer 🍲 .

A Python library for machine-learning and feedback loops on streaming data

ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives (Deep RL Workshop 2021)

This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).