4 citations · 13 across the 9 of their papers we have counts for
10 papers
From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning
Huong Nguyen, Mickaël Bettinelli, Amirhossein Ghaffari +4
Federated Learning (FL) has emerged as a promising solution for data hunger in centralized learning. This paradigm enables privacy with multiple clients to train a shared-task mode…
Autonomic Federated-Market Orchestration for the Edge-Cloud Continuum
Lauri Lovén, Roberto Morabito, Abhishek Kumar +3
The edge-cloud computing continuum demands self-management mechanisms that scale across autonomous administrative domains while honouring tenant- and operator-specified data sovere…
Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems
Alaa Saleh, Praveen Kumar Donta, Roberto Morabito +6
Human biological systems sustain life through extraordinary resilience, continually detecting damage, orchestrating targeted responses, and restoring function through self-healing.…
Agentic TinyML for Intent-aware Handover in 6G Wireless Networks
Alaa Saleh, Roberto Morabito, Sasu Tarkoma +3
As 6G networks evolve into increasingly AI-driven, user-centric ecosystems, traditional reactive handover mechanisms demonstrate limitations, especially in mobile edge computing an…
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…
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…
Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things
Talha Zeeshan, Abhishek Kumar, Susanna Pirttikangas +1
This paper presents the development and evaluation of a Large Language Model (LLM), also known as foundation models, based multi-agent system framework for complex event processing…
Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation
Huong Nguyen, Tri Nguyen, Lauri Lovén +1
This paper presents a fully coupled blockchain-assisted federated learning architecture that effectively eliminates single points of failure by decentralizing both the training and…
Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
Alaa Saleh, Roberto Morabito, Sasu Tarkoma +2
In today's digital world, Generative Artificial Intelligence (GenAI) such as Large Language Models (LLMs) is becoming increasingly prevalent, extending its reach across diverse app…
EISim: A Platform for Simulating Intelligent Edge Orchestration Solutions
Henna Kokkonen, Susanna Pirttikangas, Lauri Lovén
To support the stringent requirements of the future intelligent and interactive applications, intelligence needs to become an essential part of the resource management in the edge…