Bharath Sudharsan

According to our database, Bharath Sudharsan authored at least 33 papers between 2019 and 2022.

Collaborative distances:

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

2022

ML-MCU: A Framework to Train ML Classifiers on MCU-Based IoT Edge Devices.

Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali

IEEE Internet Things J., 2022

OTA-TinyML: Over the Air Deployment of TinyML Models and Execution on IoT Devices.

Bharath Sudharsan, John G. Breslin, Mehreen Tahir, Muhammad Intizar Ali, Omer F. Rana, Schahram Dustdar, Rajiv Ranjan

IEEE Internet Comput., 2022

Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware.

Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali, Schahram Dustdar, Albert Y. Zomaya, Rajiv Ranjan

CoRR, 2022

ElastiQuant: elastic quantization strategy for communication efficient distributed machine learning in IoT.

Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali, Peter Corcoran, Rajiv Ranjan

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

TinyFedTL: Federated Transfer Learning on Ubiquitous Tiny IoT Devices.

Kavya Kopparapu, Eric Lin, John G. Breslin, Bharath Sudharsan

Proceedings of the 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022

TinyML-CAM: 80 FPS image recognition in 1 kB RAM.

Bharath Sudharsan, Simone Salerno, Rajiv Ranjan

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

TMM-TinyML: tensor memory mapping (TMM) method for tiny machine learning (TinyML).

Bharath Sudharsan, Sonu Prasad, Dan Jose, John G. Breslin

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Poster Abstract: Approach for Remote, On-Demand loading and Execution of TensorFlow Lite ML Models on Arduino IoT Boards.

Bharath Sudharsan, Simone Salerno, Piyush Yadav, John G. Breslin

Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

Poster Abstract: Embedded ML Pipeline for Precision Agriculture.

Dhruv Sheth, Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali

Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

RIS-IoT: Towards Resilient, Interoperable, Scalable IoT.

Bharath Sudharsan, Panchakarla S. Rahul, Piyush Yadav, Suneet Kumar Gupta, Vimal Kumar, Duc-Duy Nguyen, Muhammad Intizar Ali, John G. Breslin

Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Training Up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm (Student Abstract).

Bharath Sudharsan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Toward Distributed, Global, Deep Learning Using IoT Devices.

Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali, Karan Mitra, Schahram Dustdar, Omer F. Rana, Prem Prakash Jayaraman, Rajiv Ranjan

IEEE Internet Comput., 2021

TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers.

Bharath Sudharsan, Simone Salerno, Duc-Duy Nguyen, Muhammad Yahya, Abdul Wahid, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

OWSNet: Towards Real-time Offensive Words Spotting Network for Consumer IoT Devices.

Bharath Sudharsan, Sweta Malik, Peter Corcoran, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Train++: An Incremental ML Model Training Algorithm to Create Self-Learning IoT Devices.

Bharath Sudharsan, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali

Proceedings of the 2021 IEEE SmartWorld, 2021

Globe2Train: A Framework for Distributed ML Model Training using IoT Devices Across the Globe.

Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali

Proceedings of the 2021 IEEE SmartWorld, 2021

ElastiCL: Elastic Quantization for Communication Efficient Collaborative Learning in IoT.

Bharath Sudharsan, Dhruv Sheth, Shailesh Arya, Federica Rollo, Piyush Yadav, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Enabling Machine Learning on the Edge Using SRAM Conserving Efficient Neural Networks Execution Approach.

Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices.

Bharath Sudharsan, Dineshkumar Sundaram, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Ultra-fast Machine Learning Classifier Execution on IoT Devices without SRAM Consumption.

Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

GNOSIS- query-driven multimodal event processing for unstructured data streams.

Piyush Yadav, Dhaval Salwala, Bharath Sudharsan, Edward Curry

Proceedings of the Middleware '21: Proceedings of the 22nd International Middleware Conference: Demos and Posters, Virtual Event / Québec City, Canada, December 6, 2021

Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT: Demo Abstract.

Bharath Sudharsan, Pankesh Patel, Abdul Wahid, Muhammad Yahya, John G. Breslin, Muhammad Intizar Ali

Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

SRAM optimized porting and execution of machine learning classifiers on MCU-based IoT devices: demo abstract.

Bharath Sudharsan, Pankesh Patel, John G. Breslin, Muhammad Intizar Ali

Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

Air Quality Sensor Network Data Acquisition, Cleaning, Visualization, and Analytics: A Real-world IoT Use Case.

Federica Rollo, Bharath Sudharsan, Laura Po, John G. Breslin

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

Ensemble Methods for Collective Intelligence: Combining Ubiquitous ML Models in IoT.

Bharath Sudharsan, Piyush Yadav, Duc-Duy Nguyen, Jefkine Kafunah, John G. Breslin

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Imbal-OL: Online Machine Learning from Imbalanced Data Streams in Real-world IoT.

Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware.

Bharath Sudharsan, Piyush Yadav, John G. Breslin, Muhammad Intizar Ali

Proceedings of the IEEE International Conference on Services Computing, 2021

2020

Adaptive Strategy to Improve the Quality of Communication for IoT Edge Devices.

Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali

Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Avoid Touching Your Face: A Hand-to-face 3D Motion Dataset (COVID-away) and Trained Models for Smartwatches.

Bharath Sudharsan, Dineshkumar Sundaram, John G. Breslin, Muhammad Intizar Ali

Proceedings of the IoT '20 Companion: 10th International Conference on the Internet of Things Companion, 2020

Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices.

Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali

Proceedings of the IoT '20: 10th International Conference on the Internet of Things, 2020

RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices.

Bharath Sudharsan, John G. Breslin, Muhammad Intizar Ali

Proceedings of the IoT '20: 10th International Conference on the Internet of Things, 2020

2019

A Microphone Array and Voice Algorithm based Smart Hearing Aid.

Bharath Sudharsan, Manigandan Chockalingam

CoRR, 2019

Smart Speaker Design and Implementation with Biometric Authentication and Advanced Voice Interaction Capability.

Bharath Sudharsan, Peter Corcoran, Muhammad Intizar Ali

Proceedings of the Proceedings for the 27th AIAI Irish Conference on Artificial Intelligence and Cognitive Science, 2019