Dhruv Garg

According to our database, Dhruv Garg authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DL-AMPUT-EEG: Design and development of the low-cost prosthesis for rehabilitation of upper limb amputees using deep-learning-based techniques.

Sachin Kansal, Dhruv Garg, Aditya Upadhyay, Snehil Mittal, Guneet Singh Talwar

Eng. Appl. Artif. Intell., November, 2023

A novel deep learning approach to predict subject arm movements from EEG-based signals.

Sachin Kansal, Dhruv Garg, Aditya Upadhyay, Snehil Mittal, Guneet Singh Talwar

Neural Comput. Appl., June, 2023

SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads.

Alind Khare, Dhruv Garg, Sukrit Kalra, Snigdha Grandhi, Ion Stoica, Alexey Tumanov

CoRR, 2023

Federated Learning Operations Made Simple with Flame.

Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella

CoRR, 2023

Short Term Load Forecasting for Smart Grids Using Apache Spark and a Modified Transformer Model.

Aditya Upadhyay, Dhruv Garg, Mukesh Singh

Comput. Informatics, 2023

Multitask Scheduling of Computer Vision Workload on Edge Graphical Processing Units.

Arani Bhattacharya, Paritosh Shukla, Ansuman Banerjee, Saumya Jaipuria, Nanjangud C. Narendra, Dhruv Garg

Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023

Flame: Simplifying Topology Extension in Federated Learning.

Harshit Daga, Jaemin Shin, Dhruv Garg, Ada Gavrilovska, Myungjin Lee, Ramana Rao Kompella

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

2022

An Intelligent Machine Learning Approach for Smart Grid Theft Detection.

Dhruv Garg, Neeraj Kumar, Nazeeruddin Mohammad

Proceedings of the 23rd IEEE International Symposium on a World of Wireless, 2022

2021

Heuristic and Reinforcement Learning Algorithms for Dynamic Service Placement on Mobile Edge Cloud.

Dhruv Garg, Nanjangud C. Narendra, Selome Tesfatsion

CoRR, 2021

2020

TorqueDB: Distributed Querying of Time-Series Data from Edge-local Storage.

Dhruv Garg, Prathik Shirolkar, Anshu Shukla, Yogesh Simmhan

Proceedings of the Euro-Par 2020: Parallel Processing, 2020