Dipanwita Thakur

According to our database, Dipanwita Thakur authored at least 26 papers between 2020 and 2026.

Collaborative distances:

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

2026

GRACE-FL: Green Resource-Aware Communication-Efficient Federated Learning.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino, Sajal K. Das

IEEE Trans. Artif. Intell., June, 2026

Towards Secure and Scalable Energy Theft Detection: A Federated Learning Approach for Resource-Constrained Smart Meters.

Diego Labate, Dipanwita Thakur, Giancarlo Fortino

CoRR, February, 2026

Federated continual learning meets digital twins: A survey on methods, intersections and perspectives.

Martina Savoia, Daniela Annunziata, Dipanwita Thakur, Giancarlo Fortino, Francesco Piccialli

Neurocomputing, 2026

2025

Green Federated Learning: A New Era of Green Aware AI.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino, Francesco Piccialli

ACM Comput. Surv., August, 2025

Multi-modal disease segmentation with continual learning and adaptive decision fusion.

Xu Xu, Junxin Chen, Dipanwita Thakur, Duo Hong

Inf. Fusion, 2025

EAPD-CS: Energy Aware Performance Driven Client Selection in Federated Learning based Human Activity Recognition^*.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Quantization in Energy-Efficient Federated Learning^*.

Farwa Ikram, Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

Proceedings of the International Joint Conference on Neural Networks, 2025

Analyzing the Fusion of Federated Learning and Large Language Model.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

Proceedings of the 5th IEEE International Conference on Human-Machine Systems, 2025

Layer-wise Quantization in Green-Aware AI.

Farwa Ikram, Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

Proceedings of the 2nd Workshop on Green-Aware Artificial Intelligence (Green-Aware AI@ECAI 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

2024

Intelligent Adaptive Real-Time Monitoring and Recognition System for Human Activities.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

IEEE Trans. Ind. Informatics, November, 2024

Subsampled Randomized Hadamard Transformation-based Ensemble Extreme Learning Machine for Human Activity Recognition.

Dipanwita Thakur, Arindam Pal

ACM Trans. Comput. Heal., January, 2024

Hardware-algorithm co-design of Energy Efficient Federated Learning in Quantized Neural Network.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

Internet Things, 2024

Permutation importance based modified guided regularized random forest in human activity recognition with smartphone.

Dipanwita Thakur, Suparna Biswas

Eng. Appl. Artif. Intell., 2024

Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino, Sajal K. Das

CoRR, 2024

Anomalous Client Detection in Federated Learning.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

CoRR, 2024

Client Specific Dynamic Aggregation for Non-IID Federated Learning.

Vincenzo Altomare, Dipanwita Thakur, Antonella Guzzo, Francesco Piccialli

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Attention-Based Multihead Deep Learning Framework for Online Activity Monitoring With Smartwatch Sensors.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

IEEE Internet Things J., October, 2023

Guided regularized random forest feature selection for smartphone based human activity recognition.

Dipanwita Thakur, Suparna Biswas

J. Ambient Intell. Humaniz. Comput., July, 2023

A Novel Smartphone-Based Human Activity Recognition Approach using Convolutional Autoencoder Long Short-Term Memory Network.

Dipanwita Thakur, Sandip Roy, Suparna Biswas, Edmond S. L. Ho, Samiran Chattopadhyay, Sachin Shetty

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

Energy Aware Federated Learning with Application of Activity Recognition.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

Proceedings of the IEEE Intl Conf on Dependable, 2023

2022

Online Change Point Detection in Application With Transition-Aware Activity Recognition.

Dipanwita Thakur, Suparna Biswas

IEEE Trans. Hum. Mach. Syst., 2022

An Integration of feature extraction and Guided Regularized Random Forest feature selection for Smartphone based Human Activity Recognition.

Dipanwita Thakur, Suparna Biswas

J. Netw. Comput. Appl., 2022

ConvAE-LSTM: Convolutional Autoencoder Long Short-Term Memory Network for Smartphone-Based Human Activity Recognition.

Dipanwita Thakur, Suparna Biswas, Edmond S. L. Ho, Samiran Chattopadhyay

IEEE Access, 2022

2021

t-SNE and PCA in Ensemble Learning based Human Activity Recognition with Smartwatch^*.

Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino

Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, 2021

2020

Multi-domain virtual network embedding with dynamic flow migration in software-defined networks.

Dipanwita Thakur, Manas Khatua

J. Netw. Comput. Appl., 2020

Smartphone based human activity monitoring and recognition using ML and DL: a comprehensive survey.

Dipanwita Thakur, Suparna Biswas

J. Ambient Intell. Humaniz. Comput., 2020