Yang's blog 
归档
总共 135 篇文章
2025 65 篇
- 03-18 操作系统
- 03-17 Nginx
- 03-11 后端服务端主动推送消息的常见方式
- 03-11 锁核心类AQS
- 03-04 计算机网络
- 03-03 正则表达式
- 03-03 Linux 常用命令
- 03-03 Linux 网络管理
- 03-03 Linux 进程管理
- 03-03 Linux 用户管理
- 03-03 Linux 权限与安全
- 03-03 Linux 文件系统
- 03-03 Linux基础知识
- 03-02 RocketMQ
- 03-01 README
- 03-01 PySyfy介绍
- 03-01 数据集与资产
- 03-01 客户端和 Datasite 访问
- 03-01 审查代码请求
- 03-01 提出研究问题
- 03-01 检索结果
- 02-28 Pinia 集中式状态存储
- 02-28 Vue-Router 组件
- 02-28 JSON序列化与反序列化 推荐
- 02-27 Vue3生命周期
- 02-27 Vue3数据双向绑定
- 02-27 初识Vue3
- 02-25 设计模式
- 02-22 JavaIO
- 02-22 Redis
- 02-22 云计算
- 02-21 Mysql
- 02-21 Java反射
- 02-20 数据结构
- 02-20 Java集合框架
- 02-19 JVM介绍
- 02-19 Java多线程
- 02-19 Mybatis介绍
- 02-18 Spring介绍
- 02-18 SpringBoot介绍
- 02-08 Dockerfile ：构建自己的 Docker 镜像 推荐
- 02-08 Docker介绍 推荐
- 02-08 Docker Compose ：容器编排工具 推荐
- 01-16 Model Context Protocol
- 01-16 Testing and Evaluation
- 01-16 Observability
- 01-16 Logging
- 01-16 Kotlin Support
- 01-16 Spring Boot Integration
- 01-16 Quarkus Integration
- 01-16 Image Models
- 01-16 Embedding (Vector) Stores
- 01-16 Classification
- 01-16 Structured Outputs
- 01-15 Tools (Function Calling)
- 01-15 RAG
- 01-14 Agent
- 01-14 AI Services
- 01-14 Response Streaming
- 01-14 Model Parameters
- 01-14 Chat Memory
- 01-14 Chat and Language Models
- 01-14 快速开始
- 01-14 介绍
- 01-09 FedFD&FAug:Communication-Efficient On-Device Machine Learning:Federated Distillation and Augmentation under Non-IID Private Data
2024 69 篇
- 12-26 pFedSD & Personalized Edge Intelligence via Federated Self-Knowledge Distillation
- 12-24 DKD-pFed & A novel framework for personalized federated learning via decoupling knowledge distillation and feature decorrelation
- 11-26 Knowledge Distillation in Federated Learning:A Practical Guide
- 11-18 HomeBrew介绍 推荐
- 11-06 什么是VPN
- 11-06 正向代理和反向代理
- 10-30 MOON & Model-Contrastive Federated Learning
- 10-28 Chapter 0:Introduction to Modern Cryptography
- 10-28 联邦学习中的基础算法介绍
- 10-24 FedFTG & Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
- 10-14 FedMD & Heterogenous Federated Learning via Model Distillation
- 10-09 Distilling the Knowledge in a Neural Network
- 09-21 Towards Personalized Federated Learning
- 07-29 Java开发中必备能力单元测试
- 07-21 shell编程中常用的符号 推荐