5 papers
Distributed Precoding for Cell-free Massive MIMO in O-RAN: A Multi-agent Deep Reinforcement Learning Framework
Mohammad Hossein Shokouhi, Vincent W. S. Wong
Cell-free massive multiple-input multiple-output (MIMO) is a key technology for next-generation wireless systems. The integration of cell-free massive MIMO within the open radio ac…
FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment
Chuiyang Meng, Ming Tang, Vincent W. S. Wong
Parameter-efficient fine-tuning techniques such as low-rank adaptation (LoRA) enable large language models (LLMs) to adapt to downstream tasks efficiently. Federated learning (FL)…
ASFL: An Adaptive Model Splitting and Resource Allocation Framework for Split Federated Learning
Chuiyang Meng, Ming Tang, Vincent W. S. Wong
Federated learning (FL) enables multiple clients to collaboratively train a machine learning model without sharing their raw data. However, the limited computation resources of the…
ZorBA: Zeroth-order Federated Fine-tuning of LLMs with Heterogeneous Block Activation
Chuiyang Meng, Ming Tang, Vincent W. S. Wong
Federated fine-tuning of large language models (LLMs) enables collaborative tuning across distributed clients. However, due to the large size of LLMs, local updates in federated le…
Viewport Prediction, Bitrate Selection, and Beamforming Design for THz-Enabled 360° Video Streaming
Mehdi Setayesh, Vincent W. S. Wong
360° videos require significant bandwidth to provide an immersive viewing experience. Wireless systems using terahertz (THz) frequency band can meet this high data rate demand. Ho…