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Christopher G. Brinton

11 papers at tracked venues · 9 at CORE A* · active 2024–2025

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Venues

NeurIPS ×4ICLR ×3AAAI ×1EMNLP ×1IJCAI ×1WWW ×1

Frequent coauthors

Dong-Jun Han
×7
Seyyedali Hosseinalipour
×3
Yun-Wei Chu
×3
Guangchen Lan
×2
Shiqiang Wang
×2
Abolfazl Hashemi
×1
Vaneet Aggarwal
×1
Huseyin A. Inan
×1
Sahar Abdelnabi
×1
Janardhan Kulkarni
×1
Lukas Wutschitz
×1
Reza Shokri
×1

Papers

  1. Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
    ICLR 2025 ·
    Guangchen Lan
    ,
    Dong-Jun Han
    ,
    Abolfazl Hashemi
    ,
    Vaneet Aggarwal
    , Christopher Brinton
  2. Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
    NeurIPS 2025 ·
    Guangchen Lan
    ,
    Huseyin A. Inan
    ,
    Sahar Abdelnabi
    ,
    Janardhan Kulkarni
    ,
    Lukas Wutschitz
    ,
    Reza Shokri
    , Christopher Brinton,
    Robert Sim
  3. Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
    ICLR 2025 ·
    Shahryar Zehtabi
    ,
    Dong-Jun Han
    ,
    Rohit Parasnis
    ,
    Seyyedali Hosseinalipour
    , Christopher G. Brinton
  4. Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping
    NeurIPS 2025 ·
    Martin Pelikan
    ,
    Sheikh Shams Azam
    ,
    Vitaly Feldman
    ,
    Jan Honza Silovsky
    ,
    Kunal Talwar
    , Christopher Brinton,
    Tatiana Likhomanenko
  5. LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
    EMNLP 2025 ·
    Liangqi Yuan
    ,
    Dong-Jun Han
    , Christopher G. Brinton,
    Sabine Brunswicker
  6. Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis
    IJCAI 2025 ·
    Satyavrat Wagle
    ,
    Akshay Malhotra
    ,
    Shahab Hamidi-Rad
    ,
    Aditya Sant
    ,
    David J. Love
    , Christopher G. Brinton
  7. RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
    NeurIPS 2025 ·
    Adam Piaseczny
    ,
    Md Kamran Chowdhury Shisher
    ,
    Shiqiang Wang
    , Christopher Brinton
  8. Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
    AAAI 2025 ·
    Yun-Wei Chu
    ,
    Dong-Jun Han
    ,
    Seyyedali Hosseinalipour
    , Christopher G. Brinton
  9. Unlocking the Potential of Model Calibration in Federated Learning
    ICLR 2025 ·
    Yun-Wei Chu
    ,
    Dong-Jun Han
    ,
    Seyyedali Hosseinalipour
    , Christopher Brinton
  10. Hierarchical Federated Learning with Multi-Timescale Gradient Correction
    NeurIPS 2024 ·
    Wenzhi Fang
    ,
    Dong-Jun Han
    ,
    Evan Chen
    ,
    Shiqiang Wang
    , Christopher G. Brinton
  11. Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
    WWW 2024 ·
    Yun-Wei Chu
    ,
    Dong-Jun Han
    , Christopher G. Brinton