| FedLDA: Personalized federated learning through collaborative linear discriminant analysis C Mclaughlin, L Su International Workshop on Federated Learning in the Age of Foundation Models …, 2023 | 1 | 2023 |
| Network Fault-tolerant and Byzantine-resilient Social Learning via Collaborative Hierarchical Non-Bayesian Learning C Mclaughlin, M Ding, D Edogmus, L Su arXiv preprint arXiv:2307.14952, 2023 | | 2023 |
| Fast and Robust State Estimation and Tracking via Hierarchical Learning C Mclaughlin, M Ding, D Edogmus, L Su arXiv preprint arXiv:2306.17267, 2023 | | 2023 |
| Mahalanobis-Aware Training for Out-of-Distribution Detection C Mclaughlin, J Matterer, M Yee Proceedings of the AAAI Symposium Series 2 (1), 239-241, 2023 | | 2023 |
| Searching for Contextual Subtasks for Semantic Segmentation C McLaughlin WORCESTER POLYTECHNIC INSTITUTE, 2022 | | 2022 |
| Latent Factor Decomposition Model: Applications for Questionnaire Data CJ McLaughlin, EG Kokkotou, JA King, LA Conboy, A Yousefi 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | | 2021 |
Lili SuAssistant Professor, Northeastern UniversityVerified email at northeastern.edu
