Recent Publications
Learning Set Functions with Implicit Differentiation
Gözde Özcan, Chengzhi Shi, and Stratis Ioannidis. AAAI, 2025. [code]
Gözde Özcan, Chengzhi Shi, and Stratis Ioannidis. AAAI, 2025. [code]
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, and Lili Su. NeurIPS, 2024. [code]
Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, and Lili Su. NeurIPS, 2024. [code]
Harm Mitigation in Recommender Systems under User Preference Dynamics
Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, and Stratis Ioannidis. KDD, 2024. [code]
Jerry Chee, Shankar Kalyanaraman, Sindhu Kiranmai Ernala, Udi Weinsberg, Sarah Dean, and Stratis Ioannidis. KDD, 2024. [code]
Online Submodular Maximization via Online Convex Optimization
Tareq Si-Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis AAAI, 2024. [code]
Tareq Si-Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis AAAI, 2024. [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 ioannidis@ece.neu.edu.
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.
