Wenzhi Fang

According to our database, Wenzhi Fang authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Joint Continual Learning of Local Language Models and Cloud Offloading Decisions with Budget Constraints.

Evan Chen, Wenzhi Fang, Shiqiang Wang, Christopher Brinton

CoRR, February, 2026

Federated Edge Learning - Algorithms, Architectures and Trustworthiness

Yong Zhou, Wenzhi Fang, Yuanming Shi, Khaled B. Letaief

Wireless Networks, Springer, ISBN: 978-3-031-96648-4, 2026

Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning.

Seohyun Lee, Wenzhi Fang, Anindya Bijoy Das, Seyyedali Hosseinalipour, David J. Love, Christopher G. Brinton

IEEE Trans. Netw., 2026

2025

TAP: Two-Stage Adaptive Personalization of Multi-task and Multi-Modal Foundation Models in Federated Learning.

Seohyun Lee, Wenzhi Fang, Dong-Jun Han, Seyyedali Hosseinalipour, Christopher G. Brinton

CoRR, September, 2025

Collaborative Device-Cloud LLM Inference through Reinforcement Learning.

Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Christopher G. Brinton

CoRR, September, 2025

Federated Sketching LoRA: On-Device Collaborative Fine-Tuning of Large Language Models.

Wenzhi Fang, Dong-Jun Han, Liangqi Yuan, Seyyedali Hosseinalipour, Christopher G. Brinton

CoRR, January, 2025

Federated Learning Over Hierarchical Wireless Networks: Training Latency Minimization via Submodel Partitioning.

Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton

IEEE Trans. Netw., 2025

2024

Orchestrating Federated Learning in Space-Air- Ground Integrated Networks: Adaptive Data Offloading and Seamless Handover.

Dong-Jun Han, Wenzhi Fang, Seyyedali Hosseinalipour, Mung Chiang, Christopher G. Brinton

IEEE J. Sel. Areas Commun., December, 2024

Hierarchical Federated Learning with Multi-Timescale Gradient Correction.

Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G. Brinton

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Submodel Partitioning in Hierarchical Federated Learning: Algorithm Design and Convergence Analysis.

Wenzhi Fang, Dong-Jun Han, Christopher G. Brinton

Proceedings of the IEEE International Conference on Communications, 2024

2022

Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning.

Wenzhi Fang, Ziyi Yu, Yuning Jiang, Yuanming Shi, Colin N. Jones, Yong Zhou

IEEE Trans. Signal Process., 2022

2021

Over-the-Air Computation via Reconfigurable Intelligent Surface.

Wenzhi Fang, Yuning Jiang, Yuanming Shi, Yong Zhou, Wei Chen, Khaled B. Letaief

IEEE Trans. Commun., 2021

Optimal Receive Beamforming for Over-the-Air Computation.

Wenzhi Fang, Yinan Zou, Hongbin Zhu, Yuanming Shi, Yong Zhou

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

2020

Outage Minimization for Intelligent Reflecting Surface Aided MISO Communication Systems via Stochastic Beamforming.

Wenzhi Fang, Min Fu, Yuanming Shi, Yong Zhou

Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Stochastic Beamforming for Reconfigurable Intelligent Surface Aided Over-the-Air Computation.

Wenzhi Fang, Min Fu, Kunlun Wang, Yuanming Shi, Yong Zhou

Proceedings of the IEEE Global Communications Conference, 2020