LabCompass

Feijie Wu

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Mid career · publishing since 2013Rising activity
Privacy-Preserving Technologies in DataStochastic Gradient Optimization TechniquesTopic ModelingBlockchain Technology Applications and SecurityPeer-to-Peer Network Technologies

Publications

30

Citations

216

Est. group size

—

Recurring co-author estimate

Active years

14

Publishing since 2013

Research summary
AI-generated

Feijie Wu's research focuses on federated learning, a machine learning approach where multiple devices or organizations train models collaboratively without sharing raw data. Work includes making federated learning more efficient with limited bandwidth and computing power, fine-tuning large language models locally, and addressing fairness and security issues such as data poisoning. Some publications also involve blockchain-based systems and distributed optimization techniques.

Federated learning and distributed optimizationEfficient training of large language modelsPrivacy and security in distributed machine learningBlockchain applications for decentralized systemsModel compression and communication-efficient training

Publication output has grown from occasional papers in 2017-2019 to a steady pace of about 4-5 per year since 2022, indicating an active and consistent research output over the last several years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 4.4/year recently
172018: 1 publication182019: 1 publication192020: 3 publications202021: 2 publications212022: 5 publications5222023: 4 publications232024: 5 publications5242025: 4 publications252026: 4 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×15
  • Waste Management×1
  • Plant Biotechnology Journal×1
  • ACM Transactions on Internet Technology×1
  • IEEE Transactions on Parallel and Distributed Systems×1
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By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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