- 深入了解機器學習和深度學習概念
- 具備[P省略號]編程和AI框架（PyTorch、TensorFlow或類似框架）的經驗
- 對分佈式計算和網絡有基本了解
- 熟悉AI中的數據隱私和安全概念
觀眾
- AI研究人員
- 數據科學家
- 安全專家
聯邦學習是一種去中心化的人工智能訓練方法，該方法可以讓邊緣設備在不共享原始數據的情況下協作訓練模型，從而提高隱私和效率。
這個由教練主導的實時培訓（在線或現場）針對的是希望在多個邊緣設備之間實施聯邦學習技術以訓練人工智能模型的高級人工智能研究人員、數據科學家和安全專家，同時保持數據隱私。
培訓結束時，參與者將能夠：
- 了解聯邦學習在Edge AI中的原則和優勢。
- 使用TensorFlow Federated 和 PyTorch 實現聯邦學習模型。
- 優化分佈式邊緣設備的人工智能訓練。
- 解決聯邦學習中的數據隱私和安全性挑戰。
- 在現實世界的應用程序中部署和監控聯邦學習系統。
課程格式
- 互動式講座和討論。
- 有很多練習和實踐。
- 在現場實驗室環境中進行動手實施。
課程定制選項
- 如需請求此課程的定制培訓，請與我們聯繫安排。
介绍Federated Learning
- 传统人工智能培训与联邦学习的概述
- 联邦学习的关键原则和优势
- Edge AI 应用中联邦学习的用例
Federated Learning架构和工作流
- 了解客户机-服务器和点对点联邦学习模型
- 数据分区和分散模型训练
- Communication协议和聚合策略
用TensorFlow联邦实施Federated Learning
- 为分布式人工智能培训设置TensorFlow联邦
- 使用Python构建联邦学习模型
- 在边缘设备上模拟联邦学习
Federated Learning与PyTorch和OpenFL
- 联邦学习的OpenFL介绍
- 基于PyTorch的联邦模型实现
- 定制联邦聚合技术
针对Edge AI的性能优化
- 联邦学习的硬件加速
- 减少通信开销和延迟
- 针对资源受限设备的自适应学习策略
在Federated Learning中数据隐私和安全
- 隐私保护技术（安全聚合、差分隐私、同态加密）
- 降低联邦人工智能模型中的数据泄露风险
- 监管合规和道德考虑
部署Federated Learning系统
- 在真实的边缘设备上设置联邦学习
- 监控和更新联邦模型
- 在企业环境中扩展联邦学习部署
未来趋势和案例研究
- 联邦学习和Edge AI的新兴研究
- 医疗、金融和物联网的现实案例研究
- 推进联邦学习解决方案的下一步
总结和结论
United Arab Emirates - Federated Learning and Edge AI
Qatar - Federated Learning and Edge AI
Egypt - Federated Learning and Edge AI
Saudi Arabia - Federated Learning and Edge AI
South Africa - Federated Learning and Edge AI
Brasil - Federated Learning and Edge AI
Canada - Federated Learning and Edge AI
中国 - Federated Learning and Edge AI
香港 - Federated Learning and Edge AI
澳門 - Federated Learning and Edge AI
台灣 - Federated Learning and Edge AI
USA - Federated Learning and Edge AI
Österreich - Federated Learning and Edge AI
Schweiz - Federated Learning and Edge AI
Deutschland - Federated Learning and Edge AI
Czech Republic - Federated Learning and Edge AI
Denmark - Federated Learning and Edge AI
Estonia - Federated Learning and Edge AI
Finland - Federated Learning and Edge AI
Greece - Federated Learning and Edge AI
Magyarország - Federated Learning and Edge AI
Ireland - Federated Learning and Edge AI
Luxembourg - Federated Learning and Edge AI
Latvia - Federated Learning and Edge AI
España - Federated Learning and Edge AI
Italia - Federated Learning and Edge AI
Lithuania - Federated Learning and Edge AI
Nederland - Federated Learning and Edge AI
Norway - Federated Learning and Edge AI
Portugal - Federated Learning and Edge AI
România - Federated Learning and Edge AI
Sverige - Federated Learning and Edge AI
Türkiye - Federated Learning and Edge AI
Malta - Federated Learning and Edge AI
Belgique - Federated Learning and Edge AI
France - Federated Learning and Edge AI
日本 - Federated Learning and Edge AI
Australia - Federated Learning and Edge AI
Malaysia - Federated Learning and Edge AI
New Zealand - Federated Learning and Edge AI
Philippines - Federated Learning and Edge AI
Singapore - Federated Learning and Edge AI
Thailand - Federated Learning and Edge AI
Vietnam - Federated Learning and Edge AI
India - Federated Learning and Edge AI
Argentina - Federated Learning and Edge AI
Chile - Federated Learning and Edge AI
Costa Rica - Federated Learning and Edge AI
Ecuador - Federated Learning and Edge AI
Guatemala - Federated Learning and Edge AI
Colombia - Federated Learning and Edge AI
México - Federated Learning and Edge AI
Panama - Federated Learning and Edge AI
Peru - Federated Learning and Edge AI
Uruguay - Federated Learning and Edge AI
Venezuela - Federated Learning and Edge AI
Polska - Federated Learning and Edge AI
United Kingdom - Federated Learning and Edge AI
South Korea - Federated Learning and Edge AI
Pakistan - Federated Learning and Edge AI
Sri Lanka - Federated Learning and Edge AI
Bulgaria - Federated Learning and Edge AI
Bolivia - Federated Learning and Edge AI
Indonesia - Federated Learning and Edge AI
Kazakhstan - Federated Learning and Edge AI
Moldova - Federated Learning and Edge AI
Morocco - Federated Learning and Edge AI
Tunisia - Federated Learning and Edge AI
Kuwait - Federated Learning and Edge AI
Oman - Federated Learning and Edge AI
Slovakia - Federated Learning and Edge AI
Kenya - Federated Learning and Edge AI
Nigeria - Federated Learning and Edge AI
Botswana - Federated Learning and Edge AI
Slovenia - Federated Learning and Edge AI
Croatia - Federated Learning and Edge AI
Serbia - Federated Learning and Edge AI
Bhutan - Federated Learning and Edge AI