Christopher G. Brinton

Venues

Frequent coauthors

Papers

1. Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
   ICLR 2025 ·

   Guangchen Lan

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2. Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
   NeurIPS 2025 ·

   Guangchen Lan

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3. Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
   ICLR 2025 ·

   Shahryar Zehtabi

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4. Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping
   NeurIPS 2025 ·

   Martin Pelikan

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5. LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
   EMNLP 2025 ·

   Liangqi Yuan

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6. Physics-based Generative Models for Geometrically Consistent and Interpretable Wireless Channel Synthesis
   IJCAI 2025 ·

   Satyavrat Wagle

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7. RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
   NeurIPS 2025 ·

   Adam Piaseczny

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8. Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
   AAAI 2025 ·

   Yun-Wei Chu

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9. Unlocking the Potential of Model Calibration in Federated Learning
   ICLR 2025 ·

   Yun-Wei Chu

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10. Hierarchical Federated Learning with Multi-Timescale Gradient Correction
    NeurIPS 2024 ·

    Wenzhi Fang

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11. Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
    WWW 2024 ·

    Yun-Wei Chu

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