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Intelligence Infra2025.0917 min
From Federated Learning to Decentralized Agent Networks: ChainOpera
从联邦学习到去中心化智能体网络：ChainOpera 分析
Summary
Federated learning as "controlled decentralization" — keeping data local while aggregating parameters — and how ChainOpera extends it toward multi-agent networks.
Why it matters
Privacy-sensitive industries need collaboration without data sharing; federated learning is the bridge to decentralized agent ecosystems.
Key ideas
01
Federated learning sits between distributed and fully decentralized training.
02
Local data + central aggregation suits healthcare and finance.
03
Agent networks shift value from monolithic models to ecosystems.
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Chinese and English versions of this report.
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