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Paper List for Personalized Federated Learning (PFL)
A notebook of awesome privacy protection,federated learning, fairness and blockchain research materials.
BigComp 2021
Time Series Feature Extraction for Federated Learning
The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"
P2P Federated Learning (p2pfl) is a decentralized federated learning library, it allows creating basic federated learning systems on p2p networks using gossip protocols.
A Decentralized Blockchain-Based Federated Learning Framework
Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)
Blockchain federated learning simulate by python
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
A curated list of trustworthy deep learning papers. Daily updating...
Scripts for figures and calculations of the manuscript by Warnat-Herresthal el al. 2020
A simplified library for decentralized, privacy preserving machine learning
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
The Project's goal is to simulate a decentralised approach to building machine learning models while protecting the privacy of users.
VeryFL is an experimental federated leraning framework embedded with blockchain
[UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition
[ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.00226)
Learning Resources And Links Of Machine Learning（updating）
Federated Learning for 5G Base Station Traffic Forecasting
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
This project proposes a decentralized federated learning framework based on blockchain, that is, a Block-chain-based Federated Learning framework with Committee consensus (BFLC). Without a centrali…