AI Privacy Crucial Techniques for Solving Problems | Federated Learning

Let's take a closer look at federated learning, an important technology in the age of artificial intelligence. Federated learning is an innovative machine learning method that can achieve both privacy and improved AI performance. The video comprehensively covers the concepts of federated learning, its principles of operation, its pros and cons, its best practices, and its latest research trends. It provides helpful information for those interested in AI technology, those interested in data privacy issues, and everyone who wants to know the latest AI trends. I hope this helped you gain insight into how federated learning will change the future of AI.
Please leave your questions in the comments!
⏲️ Timeline
00:00 Introduction
00:20 Introduction to Combined Learning
01:01 Use cases and advantages
01:57 Shortcomings
02:58 Principles of Operation
04:38 Research Trends
05:22 Conclusion
🔖 Teg
#ArtificialIntelligence #CooperativeLearning #DeepLearning #MachineLearning #Privacy

[@user-nu3wb9vz5e]

재밌어요

[@user-mm9wl2yj1u]

복잡하고 어려운 분야인데 설명을 참 잘 해 주시네요
잘 들었습니다
계속 기대 하겠습니다

[@InventorSilok]

감사합니다. 시청해 주셔서 감사합니다!

[@ixrider88]

분산된 데이터 처리 방식이 개인정보 보호에 어떻게 기여하는지 명확하게 살명해 주셔사 많은 도움 되었습니다.
연합학습을 실제로 구현할 때 가장 큰 기술적 도전이 궁금했는데, 궁금증 해결에도 도움 되었습니다🎉
감사합니다!

[@InventorSilok]

도움 되셨다니 다행입니다!