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, Jan. 2017.
• C. Brinton, M. Chiang. Networks Illustrated: 8 Principles Without Calculus. EdWiser Scholastic Press, June 2013.

10 Representative Papers

• S. Zehtabi, D. Han, R. Parasnis, S. Hosseinalipour, C. Brinton. Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees. International Conference on Learning Representations (ICLR), p. 1-70, 2025. (ICLR 2025 spotlight paper)
• 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), p. 1-35, 2024.
• J. Kim, T. Kim, D. Love, C. Brinton. Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning. International Conference on Machine Learning (ICML), p. 1-20, 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, Vol. 9, No. 4, p. 913-926, 2023.
• 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, Vol. 30, No. 4, p. 1454-1468, 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, p. 1-40, 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.
• 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, L. Yuan, E. Chen, C. Brinton. Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training. International Conference on Machine Learning (ICML), 2026.
• W. Fang, D. Han, L. Yuan, S. Hosseinalipour, C. Brinton. Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models. International Conference on Machine Learning (ICML), 2026.
• S. Kang, V. Tripathi, C. Brinton. Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems. IEEE Transactions on Networking, 2026.
• L. Yuan, D. Han, S. Wang, D. Upadhyay, C. Brinton. Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection. IEEE Transactions on Mobile Computing, 2026.
• S. Kang, V. Tripathi, C. Joo, C. Brinton. Buffer Management for Timely Reconstruction: Lower Bounds and Near-Optimal Policies. IEEE Transactions on Network Science and Engineering, 2026.
• E. Chen, S. Wang, C. Brinton. A Hierarchical Gradient Tracking Algorithm for Mitigating Subnet-Drift in Fog Learning Networks. IEEE Transactions on Networking, 2026.
• M. Karbalayghareh, D. Love, C. Brinton. Coherence-Aware Over-the-Air Distributed Learning under Heterogeneous Link Impairments. IEEE Journal on Selected Areas in Information Theory, 2026.
• S. Zehtabi, D. Han, S. Hosseinalipour, C. Brinton. Decentralized Domain Generalization with Style Sharing: Formal Model and Convergence Analysis. IEEE International Conference on Computer Communications (INFOCOM), 2026.
• M. Shisher, V. Tripathi, M. Chiang, C. Brinton. AoI-based Scheduling of Correlated Sources for Timely Inference. IEEE Transactions on Networking, 2026.
• E. Chen, F. Lin, D. Han, C. Brinton. Differentially-Private Multi-Tier Federated Learning: A Formal Analysis and Evaluation. IEEE Transactions on Networking, 2026.

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.