Kevin Hsieh
Principal Researcher
About
I am a researcher at Microsoft Research in Redmond. My research interests lie broadly in the intersection of artificial intelligence (AI) and systems/networking. Recently, I am focused on exploring AI for network security and management, federated and decentralized learning, and mitigating data drifts in machine learning. I received my Ph.D. in the department of Electrical and Computer Engineering (opens in new tab) at Carnegie Mellon University (opens in new tab).
Recent projects:
- Secure East-West Traffic with Zero-Trust Networking Principles
- GNN-based anomaly detection: NetVigil (NSDI’24)
- Natural-language-based network management: NeMoCopilot (HotNets’23)
- Graphs and systems: Complete Communication Graph (HotNets’23), Role-based micro-segmentation (NSDI’25)
- Federated Learning
- Challenges in federated learning: Non-IID data (ICML’20), FedDrift (opens in new tab) (AISTATS’23)
- Application in Space FedSpace (opens in new tab)
- Data Drift mitigation
- In ML systems: Matchmaker (opens in new tab) (MLSys’22)
- In video analytics systems: Ekya (opens in new tab) (NSDI’22), RECL (opens in new tab) (NSDI’23)