Chuiyang Meng, Ming Tang, Vincent W. S. Wong

Chuiyang Meng, Ming Tang, Vincent W. S. Wong의 전문분석자료

Academic · 약 1분

ZorBA: Zeroth-order Federated Fine-tuning of LLMs with Heterogeneous Block Activation

arXiv:2603.04436v1 Announce Type: new Abstract: Federated fine-tuning of large language models (LLMs) enables collaborative tuning across distributed clients. However, due to the large size of …

조회수 54회 03.07

Academic · 약 1분

ASFL: An Adaptive Model Splitting and Resource Allocation Framework for Split Federated Learning

arXiv:2603.04437v1 Announce Type: new Abstract: Federated learning (FL) enables multiple clients to collaboratively train a machine learning model without sharing their raw data. However, the …

Chuiyang Meng, Ming Tang, Vincent W. S. Wong

조회수 46회 03.07

Academic · 약 1분

FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment

arXiv:2602.17095v1 Announce Type: new Abstract: Parameter-efficient fine-tuning techniques such as low-rank adaptation (LoRA) enable large language models (LLMs) to adapt to downstream tasks efficiently. Federated …

Chuiyang Meng, Ming Tang, Vincent W. S. Wong

조회수 61회 02.21