Publications

Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Evan Chen, Christopher G. Brinton (2025). Bridging On-Device and Cloud LLMs for Collaborative Reasoning: A Unified Methodology for Local Routing and Post-Training.

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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.

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Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Seyyedali Hosseinalipour, Christopher G. Brinton (2025). Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models.

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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.

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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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