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20212026
most citedEDGF: Empirical dataset generation framework for wireless network networks

97 citations · 203 across the 35 of their papers we have counts for

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Showing 2025Show all

11 papers · 1 filter

cs.CY2025

Socio-technical aspects of Agentic AI

Praveen Kumar Donta, Alaa Saleh, Ying Li +15

Agentic Artificial Intelligence (AI) represents a fundamental shift in the design of intelligent systems, characterized by interconnected components that collectively enable autono…

cs.DC2025

Synergizing Monetization, Orchestration, and Semantics in Computing Continuum

Chinmaya Kumar Dehury, Lauri Lovén, Praveen Kumar Donta +2

Industry demands are growing for hyper-distributed applications that span from the cloud to the edge in domains such as smart manufacturing, transportation, and agriculture. Yet to…

cs.DC2025

A Conflict-Aware Resource Management Framework for the Computing Continuum

Vlad Popescu-Vifor, Ilir Murturi, Praveen Kumar Donta +1

The increasing device heterogeneity and decentralization requirements in the computing continuum (i.e., spanning edge, fog, and cloud) introduce new challenges in resource orchestr…

cs.DC2025★ 2 cited

Resilient by Design -- Active Inference for Distributed Continuum Intelligence

Praveen Kumar Donta, Alfreds Lapkovskis, Enzo Mingozzi +1

Failures are the norm in highly complex and heterogeneous devices spanning the distributed computing continuum (DCC), from resource-constrained IoT and edge nodes to high-performan…

cs.DC2025★ 7 cited

Performance Measurements in the AI-Centric Computing Continuum Systems

Praveen Kumar Donta, Qiyang Zhang, Schahram Dustdar

Over the Eight decades, computing paradigms have shifted from large, centralized systems to compact, distributed architectures, leading to the rise of the Distributed Computing Con…

cs.DC2025

Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning

Huong Nguyen, Hong-Tri Nguyen, Praveen Kumar Donta +2

Federated learning has emerged as a privacy-preserving technique for collaborative model training across heterogeneously distributed silos. Yet, its reliance on a single central se…

cs.LG2025

Adaptive Budgeted Multi-Armed Bandits for IoT with Dynamic Resource Constraints

Shubham Vaishnav, Praveen Kumar Donta, Sindri Magnússon

Internet of Things (IoT) systems increasingly operate in environments where devices must respond in real time while managing fluctuating resource constraints, including energy and…

cs.DC2025★ 2 cited

Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning

Shubham Vaishnav, Praveen Kumar Donta, Sindri Magnússon

IoT networks often face conflicting routing goals such as maximizing packet delivery, minimizing delay, and conserving limited battery energy. These priorities can also change dyna…

cs.AI2025★ 1 cited

UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces

Alaa Saleh, Sasu Tarkoma, Praveen Kumar Donta +5

Agentic Artificial Intelligence (AI) constitutes a transformative paradigm in the evolution of intelligent agents and decision-support systems, redefining smart environments by enh…

cs.DC2025

Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution

Yunquan Gao, Zhiguo Zhang, Praveen Kumar Donta +4

Deep Neural Networks (DNNs) are increasingly deployed across diverse industries, driving demand for mobile device support. However, existing mobile inference frameworks often rely…

cs.DC2025★ 4 cited

Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems

Alfreds Lapkovskis, Boris Sedlak, Sindri Magnússon +2

Ensuring Service Level Objectives (SLOs) in large-scale architectures, such as Distributed Computing Continuum Systems (DCCS), is challenging due to their heterogeneous nature and…