| 2026 | INFOCOM | Exploring Performance Tradeoffs in Age-Aware Remote Monitoring with Satellites. | Sunjung Kang, Vishrant Tripathi, Christopher G. Brinton |
| 2026 | INFOCOM | Coherence-Aware Distributed Learning under Heterogeneous Downlink Impairments. | Mehdi Karbalayghareh, David J. Love, Christopher G. Brinton |
| 2026 | INFOCOM | Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis. | Shahryar Zehtabi, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton |
| 2026 | WCNC | Multi-Tier Split Federated Learning for Multi-Level Personalization. | Yeonwoo Choi, Dong-Jun Han, Christopher G. Brinton, Minseok Choi |
| 2026 | WiOpt | Optimal RIS Placement in Multi-User MISO Systems with User Randomness. | Abhishek Rajasekaran, Mehdi Karbalayghareh, Xiaoyan Ma, David J. Love, Christopher G. Brinton |
| 2025 | AAAI | Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks. | Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton |
| 2025 | EMNLP | LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences. | Liangqi Yuan, Dong-Jun Han, Christopher G. Brinton, Sabine Brunswicker |
| 2025 | GLOBECOM | Error Analysis for Over-the-Air Federated Learning under Misaligned and Time-Varying Channels. | Xiaoyan Ma, Shahryar Zehtabi, Taejoon Kim, Christopher G. Brinton |
| 2025 | GLOBECOM | Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading. | Minrui Xu, Dusit Niyato, Christopher G. Brinton |
| 2025 | ICLR | Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees. | Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher G. Brinton |
| 2025 | IJCAI | Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis. | Satyavrat Wagle, Akshay Malhotra, Shahab Hamidi-Rad, Aditya Sant, David J. Love, Christopher G. Brinton |
| 2025 | INFOCOM | Computation and Communication Co-Scheduling for Timely Multi-Task Inference at the Wireless Edge. | Md Kamran Chowdhury Shisher, Adam Piaseczny, Yin Sun, Christopher G. Brinton |
| 2025 | WiOpt | Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems. | Sunjung Kang, Vishrant Tripathi, Christopher G. Brinton |
| 2025 | WiOpt | Communication-Efficient Cooperative Localization: A Graph Neural Network Approach. | Yinan Zou, Christopher G. Brinton, Vishrant Tripathi |
| 2024 | INFOCOM | Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach. | Evan Chen, Shiqiang Wang, Christopher G. Brinton |
| 2024 | ITW | Maximizing User Admittance for Cognitive Satellite-Terrestrial Networks Using ODE-Inspired Spectral Radius Estimation. | Kai Wang, Chee Wei Tan, Christopher G. Brinton |
| 2024 | WWW | Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation. | Yun-Wei Chu, Dong-Jun Han, Christopher G. Brinton |
| 2024 | WiOpt | FICDF: A Federated Incremental Learning Framework for IoT Device Fingerprinting. | Shengli Ding, Dong-Jun Han, Christopher G. Brinton, Keerthi Dasala |
| 2024 | WiOpt | Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis. | Mohammadreza Kouchaki, Minglong Zhang, Aly Sabri Abdalla, Guangchen Lan, Christopher G. Brinton, Vuk Marojevic |
| 2023 | FOCS | On Pseudolinear Codes for Correcting Adversarial Errors. | Eric Ruzomberka, Homa Nikbakht, Christopher G. Brinton, H. Vincent Poor |
| 2023 | GLOBECOM | A Reinforcement Learning-Based Approach to Graph Discovery in D2D-Enabled Federated Learning. | Satyavrat Wagle, Anindya Bijoy Das, David J. Love, Christopher G. Brinton |
| 2023 | GLOBECOM | Energy Efficient Collaborative Federated Learning Design: A Graph Neural Network based Approach. | Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin |
| 2023 | GLOBECOM | MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization. | Nuocheng Yang, Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton |
| 2023 | ICASSP | Coded Matrix Computations for D2D-Enabled Linearized Federated Learning. | Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton |
| 2023 | ICDM | Distributional Cloning for Stabilized Imitation Learning via ADMM. | Xin Zhang, Yanhua Li, Ziming Zhang, Christopher G. Brinton, Zhenming Liu, Zhi-Li Zhang |
| 2023 | ICLR | Efficient Federated Domain Translation. | Zeyu Zhou, Sheikh Shams Azam, Christopher G. Brinton, David I. Inouye |
| 2023 | ICML | Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning. | Junghoon Kim, Taejoon Kim, David J. Love, Christopher G. Brinton |
| 2023 | INFOCOM | SplitGP: Achieving Both Generalization and Personalization in Federated Learning. | Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon |
| 2023 | ISIT | Distributed Matrix Computations with Low-weight Encodings. | Anindya Bijoy Das, Aditya Ramamoorthy, David J. Love, Christopher G. Brinton |
| 2023 | MOBIHOC | Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks. | Rohit Parasnis, Seyyedali Hosseinalipour, Yun-Wei Chu, Mung Chiang, Christopher G. Brinton |
| 2023 | VTC | Distributed Quantized Transmission and Fusion for Federated Machine Learning. | Omid Moghimi Kandelusy, Christopher G. Brinton, Taejoon Kim |
| 2023 | WACV | Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution. | Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher G. Brinton, Zhenming Liu |
| 2022 | AISTATS | Can we Generalize and Distribute Private Representation Learning? | Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher G. Brinton |
| 2022 | CIKM | Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. | Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton |
| 2022 | GLOBECOM | Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. | Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton |
| 2022 | GLOBECOM | Model-Based Reinforcement Learning for Quantized Federated Learning Performance Optimization. | Nuocheng Yang, Sihua Wang, Mingzhe Chen, Christopher G. Brinton, Changchuan Yin, Walid Saad, Shuguang Cui |
| 2022 | ICLR | Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? | Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher G. Brinton |
| 2022 | LAK | Giving Feedback on Feedback: An Assessment of Grader Feedback Construction on Student Performance. | Serena Nicoll, Kerrie A. Douglas, Christopher G. Brinton |
| 2022 | VTC | Uncertainty Quantification-Based Unmanned Aircraft System Detection using Deep Ensembles. | Rajeev Sahay, Gabriel C. Birch, Jaclynn J. Stubbs, Christopher G. Brinton |
| 2021 | ACSSC | Hyperspectral Image Target Detection Using Deep Ensembles for Robust Uncertainty Quantification. | Rajeev Sahay, Daniel Ries, Joshua D. Zollweg, Christopher G. Brinton |
| 2021 | CISS | Robust Automatic Modulation Classification in the Presence of Adversarial Attacks. | Rajeev Sahay, David J. Love, Christopher G. Brinton |
| 2021 | FIE | Relationship between learning engagement metrics and learning outcomes in online engineering course. | Tiantian Li, Laura Melissa Cruz Castro, Kerrie A. Douglas, Christopher G. Brinton |
| 2021 | GLOBECOM | Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling. | Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicol Michelusi |
| 2021 | INFOCOM | Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation. | Su Wang, Mengyuan Lee, Seyyedali Hosseinalipour, Roberto Morabito, Mung Chiang, Christopher G. Brinton |
| 2020 | CISS | An Adaptive Content Skipping Methodology based on User Behavioral Modeling. | Yuwei Tu, Elizabeth Tenorio, Christopher G. Brinton |
| 2020 | GLOBECOM | Federated Learning with Communication Delay in Edge Networks. | Frank Po-Chen Lin, Christopher G. Brinton, Nicol Michelusi |
| 2020 | INFOCOM | Joint Optimization of Signal Design and Resource Allocation in Wireless D2D Edge Computing. | Junghoon Kim, Taejoon Kim, Morteza Hashemi, Christopher G. Brinton, David J. Love |
| 2020 | INFOCOM | Network-Aware Optimization of Distributed Learning for Fog Computing. | Yuwei Tu, Yichen Ruan, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong |
| 2019 | HCI | Adaptive Remediation with Multi-modal Content. | Yuwei Tu, Christopher G. Brinton, Andrew S. Lan, Mung Chiang |
| 2019 | ICDCS | Predicting the Timing and Quality of Responses in Online Discussion Forums. | Patrick Hansen, Richard Junior Bustamante, Tsung-Yen Yang, Elizabeth Tenorio, Christopher G. Brinton, Mung Chiang, Andrew S. Lan |
| 2018 | AIED | Learner Behavioral Feature Refinement and Augmentation Using GANs. | Da Cao, Andrew S. Lan, Weiyu Chen, Christopher G. Brinton, Mung Chiang |
| 2018 | CISS | Course recommendation as graphical analysis. | Connor Bridges, James Jared, Joshua Weissmann, Astrid Montanez-Garay, Jonathan C. Spencer, Christopher G. Brinton |
| 2018 | CISS | Predictive learning analytics for video-watching behavior in MOOCs. | Madhumitha Shridharan, Ashley Willingham, Jonathan C. Spencer, Tsung-Yen Yang, Christopher G. Brinton |
| 2018 | CISS | A network-driven approach to modeling the spread of Ebola-type epidemics. | Neil Slighton, Jose M. Rico, Emily Kallfelz, Ji Qi, Christopher G. Brinton |
| 2018 | CISS | A network-driven methodology for sports ranking and prediction. | Vincent Xia, Kavirath Jain, Akshay Krishna, Christopher G. Brinton |
| 2018 | EDM | Principles for Assessing Adaptive Online Courses. | Weiyu Chen, Carlee Joe-Wong, Christopher G. Brinton, Liang Zheng, Da Cao |
| 2018 | EDM | Behavioral Analysis at Scale: Learning Course Prerequisite Structures from Learner Clickstreams. | Weiyu Chen, Andrew S. Lan, Da Cao, Christopher G. Brinton, Mung Chiang |
| 2018 | ICDM | A Domain-Independent Text Segmentation Method for Educational Course Content. | Yuwei Tu, Ying Xiong, Weiyu Chen, Christopher G. Brinton |
| 2018 | INFOCOM | Predicting Learner Interactions in Social Learning Networks. | Tsung-Yen Yang, Christopher G. Brinton, Carlee Joe-Wong |
| 2017 | EDM | Behavior-Based Latent Variable Model for Learner Engagement. | Andrew S. Lan, Christopher G. Brinton, Tsung-Yen Yang, Mung Chiang |
| 2017 | INFOCOM | Behavior in social learning networks: Early detection for online short-courses. | Weiyu Chen, Christopher G. Brinton, Da Cao, Mung Chiang |
| 2017 | INFOCOM | Economic viability of a virtual ISP. | Liang Zheng, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee Wei Tan, Mung Chiang |
| 2016 | INFOCOM | Social learning networks: Efficiency optimization for MOOC forums. | Christopher G. Brinton, Swapna Buccapatnam, Felix Ming Fai Wong, Mung Chiang, H. Vincent Poor |
| 2016 | SIGMETRICS | On the Viability of a Cloud Virtual Service Provider. | Liang Zheng, Carlee Joe-Wong, Christopher G. Brinton, Chee-Wei Tan, Sangtae Ha, Mung Chiang |
| 2015 | INFOCOM | MOOC performance prediction via clickstream data and social learning networks. | Christopher G. Brinton, Mung Chiang |
| 2014 | CISS | Social learning networks: A brief survey. | Christopher G. Brinton, Mung Chiang |