大模型基础: 一文了解大模型基础知识

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

《机器学习》（西瓜书）代码实战

Existing Literature about Machine Unlearning

博客配套视频链接: https://space.bilibili.com/383551518?spm_id_from=333.1007.0.0 b 站直接看 配套 github 链接：https://github.com/nickchen121/Pre-training-language-model 配套博客链接：https://www.cnblogs.com/nickchen121/p/1…

A simple Python implementation of a secure aggregation protocole for federated learning.

37 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets. www.pfllib.com/

[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

Secure Aggregation for FL

Multi-Agent Graph Convolutional Reinforcement Learning for Dynamic Electric Vehicle Charging Pricing

This is the official repository for “Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning” (IEEE T-CSVT 2022).

Code for Part-Guided Attention Learning for Vehicle Instance Retrieval (TITS2020). A strong Vehicle Re-ID model with part region guidance.

FL-TP: Federated Learning-based Vehicle Trajectory Prediction Algorithm against Cyberattacks

Batch authentication with fedrated learnig

An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" in Python.

Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, etc.

Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization

FedShare: Secure Aggregation based on Additive Secret Sharing in Federated Learning

[ACM EuroSys'24] Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy

A curated list of cryptography resources and links.

FedAvg code with privacy protection function, the application of Paillier homomorphic encryption algorithm and differential privacy, differential privacy includes Laplacian mechanism differential p…

Flower: A Friendly Federated AI Framework

A secure aggregation system for private federated learning

Offical code for the paper "Turning Privacy-preserving Mechanisms against Federated Learning" accepted at ACM Conference on Computer and Communications Security (CCS) 2023

[ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"

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