📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

DROP: Poison Dilution via Knowledge Distillation for Federated Learning

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A Pytroch Implementation of Some Backdoor Attack Algorithms, Including BadNets, SIG, FIBA, FTrojan ...

The open-sourced Python toolbox for backdoor attacks and defenses.

An experimental platform for federated learning.

Code for Scaling Language-Free Visual Representation Learning (WebSSL)

MetaSearch：llm深度研究（deepsearch）功能方案实现

A curated repository for various papers in the domain of split learning.

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

An easy-to-use federated learning platform

Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"

TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and Be Yourself in Heterogeneous Federated Learning

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PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.

浙大软院研究生毕业论文 Latex 模版（非官方）2021夏季

超级速查表 - 编程语言、框架和开发工具的速查表，单个文件包含一切你需要知道的东西 ⚡

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

A custom PyTorch dataset class for the federated learning femnist dataset

[NeurIPS 2019] Deep Leakage From Gradients

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

[ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction