Ashish Gupta

Orcid: 0000-0002-1424-1361

Affiliations:
  • Jaypee University of Engineering and Technology, Guna, India
  • Sardar Vallabhbhai National Institute of Technology, Surat, India (former)


According to our database1, Ashish Gupta authored at least 32 papers between 2012 and 2024.

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Bibliography

2024
Analyzing Real-Time Insect Detection in Smart Connected Farms.
Computer, December, 2024

Tackling Selfish Clients in Federated Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Locomotion Mode Recognition Using Sensory Data With Noisy Labels: A Deep Learning Approach.
IEEE Trans. Mob. Comput., June, 2023

Smart Connected Farms and Networked Farmers to Tackle Climate Challenges Impacting Agricultural Production.
CoRR, 2023

Robust Federated Learning against Backdoor Attackers.
Proceedings of the IEEE INFOCOM 2023, 2023

Preserving Privacy in Image Database through Bit-planes Obfuscation.
Proceedings of the 39th IEEE International Conference on Data Engineering, ICDE 2023, 2023

FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Environments.
Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

Is Performance Fairness Achievable in Presence of Attackers Under Federated Learning?
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
A Sensors Based Deep Learning Model for Unseen Locomotion Mode Identification using Multiple Semantic Matrices.
IEEE Trans. Mob. Comput., 2022

FedAR+: A Federated Learning Approach to Appliance Recognition with Mislabeled Data in Residential Buildings.
CoRR, 2022

Leveraging Spanning Tree to Detect Colluding Attackers in Federated Learning.
Proceedings of the IEEE INFOCOM 2022, 2022

Securing Federated Learning against Overwhelming Collusive Attackers.
Proceedings of the IEEE Global Communications Conference, 2022

Long-Short History of Gradients Is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning.
Proceedings of the Computer Security - ESORICS 2022, 2022

2021
A Fault-Tolerant Early Classification Approach for Human Activities Using Multivariate Time Series.
IEEE Trans. Mob. Comput., 2021

An Unseen Fault Classification Approach for Smart Appliances Using Ongoing Multivariate Time Series.
IEEE Trans. Ind. Informatics, 2021

YogaHelp: Leveraging Motion Sensors for Learning Correct Execution of Yoga With Feedback.
IEEE Trans. Artif. Intell., 2021

Towards Identifying Internet Applications Using Early Classification of Traffic Flow.
Proceedings of the IFIP Networking Conference, 2021

A Deep Learning based Traffic Flow Classification with Just a Few Packets.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

Early Classification Approaches for Sensors Generated Multivariate Time Series with Different Challenges.
Proceedings of the ICDCN '21: International Conference on Distributed Computing and Networking, 2021

2020
Accelerometer, Gyroscope, and Magnetometer Sensors based Data for Recognizing Handwritten Digits.
Dataset, April, 2020

An Early Classification Approach for Multivariate Time Series of On-Vehicle Sensors in Transportation.
IEEE Trans. Intell. Transp. Syst., 2020

A Divide-and-Conquer-based Early Classification Approach for Multivariate Time Series with Different Sampling Rate Components in IoT.
ACM Trans. Internet Things, 2020

An Incremental Learning Based Gesture Recognition System for Consumer Devices Using Edge-Fog Computing.
IEEE Trans. Consumer Electron., 2020

Approaches and Applications of Early Classification of Time Series: A Review.
IEEE Trans. Artif. Intell., 2020

Towards Identifying Alien Appliances using Semantic Information.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

2019
Challenges and solutions in Software Defined Networking: A survey.
J. Netw. Comput. Appl., 2019

Game Theory based Early Classification of Rivers using Time Series Data.
Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Early Classification Approach for Multivariate Time Series using Sensors of Different Sampling Rate.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

2018
A Real-time Precision Agriculture Monitoring System using Mobile Sink in WSNs.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2018

A Supervised Approach-based Job Scheduling Technique for Distributed Real-Time Systems.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2018

2014
Recovery of Lost Target Using Target Tracking in Event Driven Clustered Wireless Sensor Network.
J. Comput. Networks Commun., 2014

2012
Efficient Target Recovery in Wireless Sensor Network.
Proceedings of the Advances in Computing and Information Technology - Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India, 2012


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