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Found 3 papers, 1 papers with code
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM
Key-value (KV) caching has become the de-facto to accelerate generation speed for large language models (LLMs) inference.
Enhancing the Privacy of Federated Learning with Sketching
Federated learning methods run training tasks directly on user devices and do not share the raw user data with third parties.
Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches
Many existing works treat these concerns separately.
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