Stratis Ioannidis

Recent Publications

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning
Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, and Jennifer Dy ICML, 2023. [code]

Communication-Aware DNN Pruning
Tong Jian, Debashri Roy, Batool Salehi, Nasim Soltani, Kaushik Chowdhury, and Stratis Ioannidis
IEEE INFOCOM, Hoboken, NJ, 2023. [code]

SparCL: Sparse Continual Learning on the Edge
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, and Jennifer Dy. NeurIPS, 2022. [code]

Pruning Adversarially Robust Neural Networks without Adversarial Examples
Tong Jian, Zifeng Wang, Jennifer Dy, Yanzhi Wang, and Stratis Ioannidis. ICDM, 2022. [code]

Research Interests

  • Machine Learning
  • Distributed Systems
  • Networking
  • Privacy
News and research highlights, google scholar profile, patents granted and pending. If you are interested in pursuing a Ph.D. in machine learning, distributed systems, or privacy, please feel free to reach out to

Our research is generously supported by the National Science Foundation via the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE), a CAREER award CCF-1750539 and grants CNS 2107062, CCF-1937500, IIS-1741197, IIS-1622536, NeTS-1718355, and CNS-1717213, by the Defence Advanced Research Projects Agency, as well as by a Google Faculty Research Award and a Facebook Research Award.