Pytorch implementation of various Knowledge Distillation (KD) methods.

Towards model-agnostic federated learning using knowledge distillation, ICLR 2022

Codes for FedKD

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

基于Hyperledger Fabric 使用fabric-sdk-go实现的一个征信应用.

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.

千古前端图文教程，超详细的前端入门到进阶知识库。从零开始学前端，做一名精致优雅的前端工程师。

For distributed machine learning

Data Shapley: Equitable Valuation of Data for Machine Learning

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

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

算法和数据结构体系学习班

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

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

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

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🐟🐟🐟 机器学习面试复习资源

Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Collection of research papers about privacy (or attacks).

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。