Federated learning - Wikipedia
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2026-07-27 10:02:48
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划选高亮2026-07-27 13:23:48
原文高亮摘录
“The main difference between federated learning and distributed learning lies in the assumptions made on the properties of the local datasets”
Whisper 随想笔记
Huh, I always thought they were the same thing. This clears it up a bit.
划选高亮2026-07-27 13:14:48
原文高亮摘录
“The main difference between federated learning and distributed learning lies in the assumptions made on the properties of the local datasets”
Whisper 随想笔记
So it's basically about who owns the data and how messy it is, got it.
划选高亮2026-07-27 10:20:48
原文高亮摘录
“Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients) collaboratively train a model…”
Whisper 随想笔记
I tried this once for a project, the data never being iid was a real headache.
划选高亮2026-07-27 10:11:48
原文高亮摘录
“Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients) collaboratively train a model…”
Whisper 随想笔记
Doesn't that just make training slower and more complicated than just pooling data?
划选高亮2026-07-27 10:02:48
原文高亮摘录
“Federated learning (also known as collaborative learning) is a machine learning technique in a setting where multiple entities (often called clients) collaboratively train a model…”
Whisper 随想笔记
So it's like everyone studies from their own notes but shares the final exam answers, got it.
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