Research projects

Research, built into systems.

We turn ideas in distributed intelligence into methods and systems for reliable communication, efficient edge inference, and resource-aware learning.

Abstract blue visualization of connected information in a communication system

Robust communication

WaSeCom

Wasserstein distributionally robust wireless semantic communication with large AI models.

  • Semantic communication
  • Distributional robustness
  • Wireless AI
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GOODSPEED distributed speculative decoding architecture with draft and verification servers

Efficient inference

GOODSPEED

Speculative decoding for efficient and fair LLM inference at the edge.

  • Speculative decoding
  • Edge inference
  • Fair resource allocation
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Research & publications

Follow the ideas behind each system.

Explore the methods, analysis, and published work that support DUAL projects.

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