28 citations · 57 across the 14 of their papers we have counts for
15 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…
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…
Remote Safety Monitoring: Significance-Aware Status Updating for Situational Awareness
Tasmeen Zaman Ornee, Md Kamran Chowdhury Shisher, Clement Kam +1
In this study, we consider a problem of remote safety monitoring, where a monitor pulls status updates from multiple sensors monitoring several safety-critical situations. Based on…
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…
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
Adam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang +1
Machine learning (ML) algorithms deployed in real-world environments are often faced with the challenge of adapting models to concept drift, where the task data distributions are s…
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…