activity
20232026
most citedAdaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

TAPAS: Throughput-adaptive Perception for Autonomous Systems

Aman Vyas, Vasista Kodumagulla, Zain Taufique +2

Autonomous systems rely on a perception module to navigate through dynamic environments. In real-world scenarios, the perception module's throughput requirements vary at runtime du…

cs.MA2025

Twill: Scheduling Compound AI Systems on Heterogeneous Mobile Edge Platforms

Zain Taufique, Aman Vyas, Antonio Miele +2

Compound AI (cAI) systems chain multiple AI models to solve complex problems. cAI systems are typically composed of deep neural networks (DNNs), transformers, and large language mo…

cs.DC2024★ 1 cited

HiDP: Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms

Zain Taufique, Aman Vyas, Antonio Miele +2

Edge inference techniques partition and distribute Deep Neural Network (DNN) inference tasks among multiple edge nodes for low latency inference, without considering the core-level…

eess.SP2024

Characterizing Accuracy Trade-offs of EEG Applications on Embedded HMPs

Zain Taufique, Muhammad Awais Bin Altaf, Antonio Miele +2

Electroencephalography (EEG) recordings are analyzed using battery-powered wearable devices to monitor brain activities and neurological disorders. These applications require long…

cs.DC2023★ 4 cited

Adaptive Workload Distribution for Accuracy-aware DNN Inference on Collaborative Edge Platforms

Zain Taufique, Antonio Miele, Pasi Liljeberg +1

DNN inference can be accelerated by distributing the workload among a cluster of collaborative edge nodes. Heterogeneity among edge devices and accuracy-performance trade-offs of D…