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Pytorch implementation of various Knowledge Distillation (KD) methods.
Towards model-agnostic federated learning using knowledge distillation, ICLR 2022
Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 20 datasets.
For distributed machine learning
mojtaba732 / DataShapley
Forked from amiratag/DataShapleyData 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
[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)
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
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。