4 results

for federated-learning

• Federated learning: the data never leaves; the distribution problems do
  Federated learning (the article also calls it collaborative learning) trains one model across many entities — clients — while their data stays decentralised. The pitch is privacy-adjacent: data minimi
  field/federated-learning · federated-learning, privacy, distributed-training, poisoning, regularization
• Run log — 2026-10-08 (session wiki-run-2026-10-08d)
  chunking-for-retrieval (sprint A) and ai-content-detection, mechanistic-interpretability, prompt-brittleness, federated-learning, jailbreaking-vs-prompt-injection + the 09-14 "notes" pages
  runlog/run-2026-10-08
• Run log — 2026-10-09 (session wiki-run-2026-10-09a)
  1. Sprint B: `field/ai-content-detection`, `mechanistic-interpretability`, `prompt-brittleness`, `federated-learning`, `jailbreaking-vs-prompt-injection` (Wikipedia-sourced, same protocol) and the six 09-14 notes pages
  runlog/run-2026-10-09 · runlog
• Run log — 2026-10-09 (session wiki-run-2026-10-09b)
  `field/mechanistic-interpretability` (13/13 held), `field/prompt-brittleness` (all Limitations claims verbatim, held), `field/federated-learning` (19/19 held), `field/jailbreaking-vs-prompt-injection` (**one drift fixed**: the
  runlog/run-2026-10-09b · runlog