~/talk

DroidSpeak: KV Cache Sharing Across Fine-tuned Model Variants

Talkat NSDI '26 · 2026-05-04..05-06· [machine-learning]
name:Yuhan Liu
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name:Jiayi Yao
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name:Kuntai Du
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name:Shan Lu
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DroidSpeak enables KV cache reuse across fine‑tuned variants of the same architecture by profiling model pairs to find a small set of critical layers (about 11% of layers on average) and recomputing only those while reusing the rest; it transmits hidden states to start layer‑wise recomputation pipelined with cache transfer. Deployed as a distributed inference system across nodes, it reports up to 4× throughput and about 3.1× faster prefill with negligible loss in F1/Rouge‑L/code similarity.

AI-written summary · about

  1. 0:00DroidSpeak introduction
  2. 1:23Repeated context processing
  3. 3:51KV cache sharing limits
  4. 6:41KV cache translator design
  5. 9:10Critical layers for recomputation
  6. 12:20System optimization pipeline
  7. 14:10Evaluation setup and results
  8. 16:20Conclusion and future
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