I'm interested in efficient machine learning (e.g., in terms of resource consumption, training time, inference latency, and ML performance), anomaly detection, distributed and federated machine-learning, and ML for cybersecurity.

  »   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.

Recent external service:

• 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