Christopher G. Brinton, PhD

For an exhaustive list of publications, see my CV.

Books

• C. Brinton, M. Chiang. The Power of Networks: Six Principles That Connect Our Lives. Princeton University Press, Dec. 2016.
• C. Brinton, M. Chiang. Networks Illustrated: 8 Principles Without Calculus. EdWiser Scholastic Press, June 2013.

10 Representative Papers (since 2016)

• J. Kim, T. Kim, D. Love, C. Brinton. Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning. International Conference on Machine Learning (ICML), 2023.
• R. Sahay, M. Zhang, D. Love, C. Brinton. Defending Adversarial Attacks on Deep Learning Based Power Allocation in Massive MIMO Using Denoising Autoencoders. IEEE Transactions on Cognitive Communications and Networking, 2023.
• S. Azam, S. Hosseinalipour, Q. Qiu, C. Brinton. Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? International Conference on Learning Representations (ICLR), 2022.
• J. Kim, T. Kim, M. Hashemi, D. Love, C. Brinton. Minimum Overhead Beamforming and Resource Allocation in D2D Edge Networks. IEEE/ACM Transactions on Networking, 2022.
• S. Hosseinalipour, S. Azam, C. Brinton, N. Michelusi, V. Aggarwal, D. Love, H. Dai. Multi-Stage Hybrid Learning over Large-Scale Fog Networks. IEEE/ACM Transactions on Networking, 2022. (2024 IEEE Communication Society William Bennett Prize)
• F. Lin, S. Hosseinalipour, S. Azam, C. Brinton. N. Michelusi. Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations. IEEE Journal on Selected Areas in Communications, Vol. 39, No. 12, p. 3851-3869, 2021.
• S. Wang, Y. Ruan, Y. Tu, S. Wagle, C. Brinton, C. Joe-Wong. Network-Aware Optimization of Distributed Learning for Fog Computing. IEEE/ACM Transactions on Networking, Vol. 29, No. 5, p. 2019-2032, 2021.
• C. Brinton, S. Buccapatnam, L. Zheng, D. Cao, A. Lan, F. Wong, S. Ha, M. Chiang, H.V. Poor. On the Efficiency of Online Social Learning Networks. IEEE/ACM Transactions on Networking, Vol. 26, No. 5, 2018.
• T. Yang, C. Brinton, C. Joe-Wong, M. Chiang. Behavior-Based Grade Prediction for MOOCs via Time Series Neural Networks. IEEE Journal of Selected Topics in Signal Processing, Vol. 11, No. 5, Aug. 2017.
• C. Brinton, S. Buccapatnam, M. Chiang, H.V. Poor. Mining MOOC Clickstreams: Video Watching Behavior versus In-Video Quiz Performance. IEEE Transactions on Signal Processing, Vol. 64, No. 14, Jul. 2016.

10 Recent Papers

• W. Fang, D. Han, E. Chen, S. Wang, C. Brinton. Hierarchical Federated Learning with Multi-Timescale Gradient Correction. Conference on Neural Information Processing Systems (NeurIPS), 2024.
• S. Wang, S. Hosseinalipour, R. Morabito, M. Chiang, C. Brinton. Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks. IEEE/ACM Transactions on Networking, 2024.
• S. Wagle, S. Hosseinalipour, N. Khosravan, C. Brinton. Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels. IEEE Transactions on Cognitive Communications and Networking, 2024.
• R. Parasnis, S. Hosseinalipour, Y. Chu, M. Chiang, C. Brinton. Energy-Efficient Connectivity-Aware Learning over Time-Varying D2D Networks. IEEE Journal on Selected Topics in Signal Processing, 2024.
• Y. Chu, S. Hosseinalipour, E. Tenorio, L. Cruz, K. Douglas, A. Lan, C. Brinton. Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics. IEEE Transactions on Emerging Topics in Computing, 2024.
• L. Yuan, Z. Wang, L. Sun, P. Yu, C. Brinton. Decentralized Federated Learning: A Survey and Perspective. IEEE Internet of Things Journal, 2024.
• M. Oh, A. Das, T. Kim, D. Love, C. Brinton. Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning. IEEE Journal on Selected Areas in Communications, 2024.
• S. Wang, S. Hosseinalipour, C. Brinton. Multi-Source to Multi-Target Decentralized Federated Domain Adaptation. IEEE Transactions on Cognitive Communications and Networking, 2024.
• M. Oh, A. Das, S. Hosseinalipour, T. Kim, D. Love, C. Brinton. A Decentralized Pilot Assignment Algorithm for Scalable O-RAN Cell-Free Massive MIMO. IEEE Journal on Selected Areas in Communications, 2024.
• E. Chen, S. Wang, C. Brinton. Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach. IEEE International Conference on Computer Communications (INFOCOM), 2024.

Patents

• C. Brinton, M. Chiang, S. Ha, W. Ju, R. Rill, J. Walker, E. Tenorio. Systems and Methods to Assist an Instructor of a Course. U.S. Patent #17/029,707. Issued Aug 2022.
• C. Brinton, W. Chen, M. Chiang, S. Ha, R. Rill. System and Method for Automated Course Individualization via Learning Behaviors and Natural Language Processing. U.S. Patent #10,339,822. Issued Jul 2019.