Publications

Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Seyyedali Hosseinalipour, Christopher G. Brinton (2026). Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models. ICML 2026.
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Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Evan Chen, Christopher G. Brinton (2026). Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training. ICML 2026.
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Evan Chen*, Wenzhi Fang*, Shiqiang Wang, Christopher Brinton (2026). Joint Continual Learning of Local Language Models and Cloud Offloading Decisions with Budget Constraints. ArXiv.
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Seohyun Lee, Wenzhi Fang, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton (2025). TAP: Two-Stage Adaptive Personalization of Multi-task and Multi-Modal Foundation Models in Federated Learning. ArXiv.
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Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G Brinton (2024). Hierarchical Federated Learning with Multi-Timescale Gradient Correction. NeurIPS 2024.
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Wenzhi Fang, Dong-Jun Han, Christopher G Brinton (2024). Federated Learning over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning. IEEEACM Transactions on Networking.
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Wenzhi Fang, Ziyi Yu, Yuning Jiang, Yuanming Shi, Colin N Jones, Yong Zhou (2022). Communication-efficient stochastic zeroth-order optimization for federated learning. IEEE Transactions on Signal Processing.
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