TorqueDB: Distributed Querying of Time-Series Data from Edge-local Storage. - Dhruv Garg; Prathik Shirolkar; Anshu Shukla; Yogesh Simmhan (Euro-Par, 2020)

Heuristic and Reinforcement Learning Algorithms for Dynamic Service Placement on Mobile Edge Cloud. - Dhruv Garg; Nanjangud C. Narendra; Selome Tesfatsion (CoRR, 2021)

An Intelligent Machine Learning Approach for Smart Grid Theft Detection. - Dhruv Garg; Neeraj Kumar 001; Nazeeruddin Mohammad (WoWMoM, 2022)

Flame: Simplifying Topology Extension in Federated Learning. - Harshit Daga; Jaemin Shin 005; Dhruv Garg; Ada Gavrilovska; Myungjin Lee; Ramana Rao Kompella (SoCC, 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 (COMSNETS, 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)

Federated Learning Operations Made Simple with Flame. - Harshit Daga; Jaemin Shin 005; Dhruv Garg; Ada Gavrilovska; Myungjin Lee; Ramana Rao Kompella (CoRR, 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., 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., 2023)

Client Availability in Federated Learning: It Matters! - Dhruv Garg; Debopam Sanyal; Myungjin Lee; Alexey Tumanov; Ada Gavrilovska (EuroMLSys, 2025)

SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads. - Alind Khare; Dhruv Garg; Sukrit Kalra; Snigdha Grandhi; Ion Stoica; Alexey Tumanov (NSDI, 2025)

Toward Weight Sharing Paradigm for Efficient AI: Training and Inference Serving. - Payman Behnam; Alind Khare; Dhruv Garg; Alexey Tumanov (ACM SIGOPS Oper. Syst. Rev., 2025)