1 citations · 1 across the 5 of their papers we have counts for
5 papers
Learning Latent Representations for Image Translation using Frequency Distributed CycleGAN
Shivangi Nigam, Adarsh Prasad Behera, Shekhar Verma +1
This paper presents Fd-CycleGAN, an image-to-image (I2I) translation framework that enhances latent representation learning to approximate real data distributions. Building upon th…
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques
Adarsh Prasad Behera, Jaya Prakash Champati, Roberto Morabito +2
Recent progress in Language Models (LMs) has dramatically advanced the field of natural language processing (NLP), excelling at tasks like text generation, summarization, and quest…
Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical
Adarsh Prasad Behera, Paulius Daubaris, Iñaki Bravo +4
On-device inference holds great potential for increased energy efficiency, responsiveness, and privacy in edge ML systems. However, due to less capable ML models that can be embedd…
Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices
Adarsh Prasad Behera, Roberto Morabito, Joerg Widmer +1
The Hierarchical Inference (HI) paradigm employs a tiered processing: the inference from simple data samples are accepted at the end device, while complex data samples are offloade…
The Case for Hierarchical Deep Learning Inference at the Network Edge
Ghina Al-Atat, Andrea Fresa, Adarsh Prasad Behera +3
Resource-constrained Edge Devices (EDs), e.g., IoT sensors and microcontroller units, are expected to make intelligent decisions using Deep Learning (DL) inference at the edge of t…