ML Anthology

Brinton, Christopher

14 publications

ICLR 2025 Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher Brinton
NeurIPS 2025 Contextual Integrity in LLMs via Reasoning and Reinforcement Learning Guangchen Lan, Huseyin A Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher Brinton, Robert Sim
ICLR 2025 Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees Shahryar Zehtabi, Dong-Jun Han, Rohit Parasnis, Seyyedali Hosseinalipour, Christopher Brinton
NeurIPS 2025 Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping Martin Pelikan, Sheikh Shams Azam, Vitaly Feldman, Jan Silovsky, Kunal Talwar, Christopher Brinton, Tatiana Likhomanenko
NeurIPS 2025 RCCDA: Adaptive Model Updates in the Presence of Concept Drift Under a Constrained Resource Budget Adam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang, Christopher Brinton
ICLR 2025 Unlocking the Potential of Model Calibration in Federated Learning Yun-Wei Chu, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher Brinton
ICLR 2023 Efficient Federated Domain Translation Zeyu Zhou, Sheikh Shams Azam, Christopher Brinton, David I. Inouye
NeurIPS 2023 Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-Based Gradient Updates Guangchen Lan, Han Wang, James Anderson, Christopher Brinton, Vaneet Aggarwal
WACV 2023 Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution Guojun Wu, Xin Zhang, Ziming Zhang, Yanhua Li, Xun Zhou, Christopher Brinton, Zhenming Liu
ICML 2023 Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning Junghoon Kim, Taejoon Kim, David Love, Christopher Brinton
NeurIPS 2023 StableFDG: Style and Attention Based Learning for Federated Domain Generalization Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher Brinton, Jaekyun Moon
AISTATS 2022 Can We Generalize and Distribute Private Representation Learning? Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher Brinton
ICLR 2022 Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? Sheikh Shams Azam, Seyyedali Hosseinalipour, Qiang Qiu, Christopher Brinton
NeurIPSW 2021 A Generalized and Distributable Generative Model for Private Representation Learning Sheikh Shams Azam, Taejin Kim, Seyyedali Hosseinalipour, Carlee Joe-Wong, Saurabh Bagchi, Christopher Brinton