Praveen Kumar Donta

Orcid: 0000-0002-8233-6071

Affiliations:
  • Stockholm University, Sweden


According to our database1, Praveen Kumar Donta authored at least 67 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
SatCooper: Enhancing Cooperative Inference Analytics for Satellite Service via Multi-Exit DNNs.
IEEE Trans. Mob. Comput., September, 2025

A survey on fault diagnosis algorithms for high-speed train bearings.
Computing, September, 2025

Spiking Neural Networks in Intelligent Edge Computing.
IEEE Consumer Electron. Mag., July, 2025

Performance Measurements in the AI-Centric Computing Continuum Systems.
CoRR, June, 2025

Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning.
CoRR, June, 2025

Communication-Efficient Federated Learning for Heterogeneous Clients.
ACM Trans. Internet Techn., May, 2025

Adaptive Budgeted Multi-Armed Bandits for IoT with Dynamic Resource Constraints.
CoRR, May, 2025

Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning.
CoRR, May, 2025

UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces.
CoRR, May, 2025

KDN-FLB: Knowledge-Defined Networking Through Federated Learning and Blockchain.
Computer, May, 2025

Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution.
CoRR, March, 2025

Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems.
CoRR, March, 2025

Follow-Me AI: Energy-Efficient User Interaction With Smart Environments.
IEEE Pervasive Comput., 2025

Human-Based Distributed Intelligence in Computing Continuum Systems.
IEEE Internet Comput., 2025

2024
A Systematic Review on Privacy-Aware IoT Personal Data Stores.
Sensors, April, 2024

Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions.
Computer, March, 2024

Federated KNN-Based Privacy-Preserving Position Recommendation for Indoor Consumer Applications.
IEEE Trans. Consumer Electron., February, 2024

Securing Clustered Edge Intelligence With Blockchain.
IEEE Consumer Electron. Mag., January, 2024

A Privacy Enforcing Framework for Data Streams on the Edge.
IEEE Trans. Emerg. Top. Comput., 2024

Marketing Decision Model and Consumer Behavior Prediction With Deep Learning.
J. Organ. End User Comput., 2024

Learning-driven Data Fabric Trends and Challenges for cloud-to-thing continuum.
J. King Saud Univ. Comput. Inf. Sci., 2024

Low discrepancy on non-linear sensor deployment in a time-critical linear IIoT network.
Internet Things, 2024

On Causality in Distributed Continuum Systems.
IEEE Internet Comput., 2024

Equilibrium in the Computing Continuum through Active Inference.
Future Gener. Comput. Syst., 2024

Adaptive Stream Processing on Edge Devices through Active Inference.
CoRR, 2024

Follow-Me AI: Energy-Efficient User Interaction with Smart Environments.
CoRR, 2024

Diffusing High-level SLO in Microservice Pipelines.
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2024

Active Inference on the Edge: A Design Study.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Collaborative Inference in DNN-Based Satellite Systems with Dynamic Task Streams.
Proceedings of the IEEE International Conference on Communications, 2024

Markov Blanket Composition of SLOs.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2024

A Graph-based Approach to Human Activity Recognition.
Proceedings of the 6th IEEE International Conference on Cognitive Machine Intelligence, 2024

Invited Paper: DeepSLOs for the Computing Continuum.
Proceedings of the 2024 Workshop on Advanced Tools, 2024

2023
Governance and sustainability of distributed continuum systems: a big data approach.
J. Big Data, December, 2023

Exploring the Potential of Distributed Computing Continuum Systems.
Comput., September, 2023

Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey.
Comput., July, 2023

Editorial: Efficient deep neural network for intelligent robot system: Focusing on visual signal processing.
Frontiers Neurorobotics, June, 2023

Target-aware distributed coverage and connectivity algorithm for wireless sensor networks.
Wirel. Networks, May, 2023

On Distributed Computing Continuum Systems.
IEEE Trans. Knowl. Data Eng., April, 2023

iCoCoA: intelligent congestion control algorithm for CoAP using deep reinforcement learning.
J. Ambient Intell. Humaniz. Comput., March, 2023

Cooperative Transmission Scheduling and Computation Offloading With Collaboration of Fog and Cloud for Industrial IoT Applications.
IEEE Internet Things J., March, 2023

Joint Data Transmission and Energy Harvesting for MISO Downlink Transmission Coordination in Wireless IoT Networks.
Sensors, 2023

Optimal rendezvous points selection and mobile sink trajectory construction for data collection in WSNs.
J. Ambient Intell. Humaniz. Comput., 2023

Edge Intelligence - Research Opportunities for Distributed Computing Continuum Systems.
IEEE Internet Comput., 2023

Fundamental Research Challenges for Distributed Computing Continuum Systems.
Inf., 2023

Learning-driven ubiquitous mobile edge computing: Network management challenges for future generation Internet of Things.
Int. J. Netw. Manag., 2023

CommunityAI: Towards Community-based Federated Learning.
CoRR, 2023

Blockchain-based Zero Trust on the Edge.
CoRR, 2023

Federated Domain Generalization: A Survey.
CoRR, 2023

Towards Serverless Data Exchange Within Federations.
Proceedings of the Service-Oriented Computing - 17th Symposium and Summer School, 2023

Designing Reconfigurable Intelligent Systems with Markov Blankets.
Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

Towards Intelligent Data Protocols for the Edge.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023

Learning-Driven Zero Trust in Distributed Computing Continuum Systems.
Proceedings of the IEEE Intl Conf on Dependable, 2023

Community AI: Towards Community-based Federated Learning.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

Controlling Data Gravity and Data Friction: From Metrics to Multidimensional Elasticity Strategies.
Proceedings of the IEEE International Conference on Software Services Engineering, 2023

2022
Delay-aware data fusion in duty-cycled wireless sensor networks: A Q-learning approach.
Sustain. Comput. Informatics Syst., 2022

Joint Beamforming, Power Allocation, and Splitting Control for SWIPT-Enabled IoT Networks with Deep Reinforcement Learning and Game Theory.
Sensors, 2022

Survey on recent advances in IoT application layer protocols and machine learning scope for research directions.
Digit. Commun. Networks, 2022

The Promising Role of Representation Learning for Distributed Computing Continuum Systems.
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2022

Distributed Computing Continuum Systems - Opportunities and Research Challenges.
Proceedings of the Service-Oriented Computing - ICSOC 2022 Workshops - ASOCA, AI-PA, FMCIoT, WESOACS 2022, Sevilla, Spain, November 29, 2022

CCEI-IoT: Clustered and Cohesive Edge Intelligence in Internet of Things.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

2021
Dynamic mobile charger scheduling with partial charging strategy for WSNs using deep-Q-networks.
Neural Comput. Appl., 2021

An extended ACO-based mobile sink path determination in wireless sensor networks.
J. Ambient Intell. Humaniz. Comput., 2021

EDGF: Empirical dataset generation framework for wireless network networks.
CoRR, 2021

EDGF: Empirical dataset generation framework for wireless sensor networks.
Comput. Commun., 2021

Mobile Charger Utility Maximization through Preemptive Scheduling for Rechargeable WSNs.
Proceedings of the 19th OITS International Conference on Information Technology, 2021

2019
Machine learning algorithms for wireless sensor networks: A survey.
Inf. Fusion, 2019

2018
ACO-based mobile sink path determination for wireless sensor networks under non-uniform data constraints.
Appl. Soft Comput., 2018


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