2 citations · 2 across the 8 of their papers we have counts for
8 papers
Communication-Efficient Personalized Adaptation via Federated-Local Model Merging
Yinan Zou, Md Kamran Chowdhury Shisher, Christopher G. Brinton +1
Parameter-efficient fine-tuning methods, such as LoRA, offer a practical way to adapt large vision and language models to client tasks. However, this becomes particularly challengi…
Exploring Performance Tradeoffs in Age-Aware Remote Monitoring with Satellites
Sunjung Kang, Vishrant Tripathi, Christopher G. Brinton
We investigate a remote monitoring framework with multiple sensing modalities including IoT sensors on the ground, mobile UAVs in the air, and a periodically available satellite co…
AoI-based Scheduling of Correlated Sources for Timely Inference
Md Kamran Chowdhury Shisher, Vishrant Tripathi, Mung Chiang +1
We investigate a real-time remote inference system where multiple correlated sources transmit observations over a communication channel to a receiver. The receiver utilizes these o…
Online Learning of Whittle Indices for Restless Bandits with Non-Stationary Transition Kernels
Md Kamran Chowdhury Shisher, Vishrant Tripathi, Mung Chiang +1
The restless multi-armed bandit (RMAB) framework is a popular approach to solving resource allocation problems in networked systems. In this paper, we study optimal resource alloca…
Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems
Sunjung Kang, Vishrant Tripathi, Christopher G. Brinton
Remote tracking systems play a critical role in applications such as IoT, monitoring, surveillance and healthcare. In such systems, maintaining both real-time state awareness (for…
Communication-Efficient Cooperative Localization: A Graph Neural Network Approach
Yinan Zou, Christopher G. Brinton, Vishrant Tripathi
Cooperative localization leverages noisy inter-node distance measurements and exchanged wireless messages to estimate node positions in a wireless network. In communication-constra…
Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading
Minrui Xu, Dusit Niyato, Christopher G. Brinton
Large Language Models (LLMs) can perform zero-shot learning on unseen tasks and few-shot learning on complex reasoning tasks. However, resource-limited mobile edge networks struggl…
Computation and Communication Co-scheduling for Multi-Task Remote Inference
Md Kamran Chowdhury Shisher, Adam Piaseczny, Yin Sun +1
In multi-task remote inference systems, an intelligent receiver (e.g., command center) performs multiple inference tasks (e.g., target detection) using data features received from…