I'm interested in making machine learning efficient and scalable with practical system solutions. My current projects include federated learning systems and Large Language Models (LLM).

Recent blog posts:

  »   Can we make decision-tree-based ensemble methods accessible to edge computing? Check out our recent techniques here.

  »   Our new compression pipeline (EDEN) is now a part of OpenFL. See the exciting details here.

  »   Check out our recent efforts in pushing the limits of network efficiency for federated machine learning here.

  »   Check out our novel framework for downlink bandwidth reduction in the challenging cross-device federated learning setting here.

Recent academic service:

• NeurIPS 2023 PC
• The 3rd Workshop on Machine Learning and Systems (EuroMLSys) '23 PC
• USENIX Annual Technical Conference (ATC) '23 PC
• USENIX Annual Technical Conference (ATC) '22 PC