David Brooks
5 papers
· 2018–2024
· 3 conferences
· across top CS/AI conferences
Achievements
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(3)
🏃
Academic Marathon
(6)
🐝
Cross-Pollinator
(11)
🌈
Renaissance Researcher
(5)
Conferences
ICML (2)
NIPS (2)
ICLR (1)
Top co-authors
Research topics
Keywords
privacy-preserving machine learning
(1)
model compression
(1)
federated learning
(1)
neural network compression
(1)
image classification
(1)
secure aggregation
(1)
data privacy
(1)
throughput optimization
(1)
weight encoding
(1)
kv cache
(1)
clip embedding
(1)
gpu utilization
(1)
batch scheduling
(1)
gradient inference attack
(1)
participant disaggregation
(1)
llm serving
(1)
text-guided classification
(1)
hardware resilience
(1)
generative inference
(1)
bloomier filter
(1)