66 citations · 107 across the 16 of their papers we have counts for
18 papers
Optimal Model Activation Policies for Inference Networks of Large Language Models
Foivos Charalampakos, Md Ibrahim Ibne Alam, Iordanis Koutsopoulos +1
Recent advances in large language models (LLMs) have rendered them necessary for Natural Language Processing (NLP) tasks, and their high inference cost motivates the study of cost-…
Learning to Fine-tune Foundation Models under Resource Limitations
Thomas Tsouparopoulos, Iordanis Koutsopoulos
We study the problem of optimal continual fine-tuning for a pre-trained Foundation Model deployed at a resource-limited device. At each time slot, a new batch of training data arri…
Video Quality Monitoring for Remote Autonomous Vehicle Control
Dimitrios Kafetzis, Nikos Fotiou, Savvas Argyropoulos +2
The delivery of high-quality, low-latency video streams is critical for remote autonomous vehicle control, where operators must intervene in real time. However, reliable video deli…
Large Language Model Partitioning for Low-Latency Inference at the Edge
Dimitrios Kafetzis, Ramin Khalili, Iordanis Koutsopoulos
Large Language Models (LLMs) based on autoregressive, decoder-only Transformers generate text one token at a time, where a token represents a discrete unit of text. As each newly p…
Collaborative Split Federated Learning with Parallel Training and Aggregation
Yiannis Papageorgiou, Yannis Thomas, Alexios Filippakopoulos +2
Federated learning (FL) operates based on model exchanges between the server and the clients, and it suffers from significant client-side computation and communication burden. Spli…
Explainability and Continual Learning meet Federated Learning at the Network Edge
Thomas Tsouparopoulos, Iordanis Koutsopoulos
As edge devices become more capable and pervasive in wireless networks, there is growing interest in leveraging their collective compute power for distributed learning. However, op…
Joint Explainability-Performance Optimization With Surrogate Models for AI-Driven Edge Services
Foivos Charalampakos, Thomas Tsouparopoulos, Iordanis Koutsopoulos
Explainable AI is a crucial component for edge services, as it ensures reliable decision making based on complex AI models. Surrogate models are a prominent approach of XAI where h…
Optimal Fidelity-Aware Entanglement Distribution in Linear Quantum Networks
Iordanis Koutsopoulos
We study the problem of entanglement distribution in terms of maximizing a utility function that captures the total fidelity of end-to-end entanglements in a two-link linear quantu…
Personalized Federated Learning with Exact Stochastic Gradient Descent
Sotirios Nikoloutsopoulos, Iordanis Koutsopoulos, Michalis K. Titsias
We propose a Stochastic Gradient Descent (SGD)-type algorithm for Personalized Federated Learning which can be particularly attractive for mobile energy-limited regimes due to its…
Blind Optimal User Association in Small-Cell Networks
Livia Elena Chatzieleftheriou, Apostolos Destounis, Georgios Paschos +1
We learn optimal user association policies for traffic from different locations to Access Points(APs), in the presence of unknown dynamic traffic demand. We aim at minimizing a bro…
Community Networks and Sustainability: a Survey of Perceptions, Practices, and Proposed Solutions
Panagiota Micholia, Merkouris Karaliopoulos, Iordanis Koutsopoulos +5
Community network (CN) initiatives have been around for roughly two decades, evangelizing a distinctly different paradigm for building, maintaining, and sharing network infrastruct…
Streaming Big Data meets Backpressure in Distributed Network Computation
Apostolos Destounis, Georgios S. Paschos, Iordanis Koutsopoulos
We study network response to queries that require computation of remotely located data and seek to characterize the performance limits in terms of maximum sustainable query rate th…
Evolution of IEEE 802.11 compatible standards and impact on Energy Consumption
Stratos Keranidis, Giannis Kazdaridis, Nikos Makris +3
Over the last decade, the IEEE 802.11 has emerged as the most popular protocol in the wireless domain. Since the release of the first standard version, several amendments have been…
Optimal Primary-Secondary user Cooperation Policies in Cognitive Radio Networks
Nestor Chatzidiamantis, Evangelia Matskani, Leonidas Georgiadis +2
In cognitive radio networks, secondary users (SUs) may cooperate with the primary user (PU), so that the success probability of PU transmissions are improved, while SUs obtain more…
Incentive Mechanisms for Hierarchical Spectrum Markets
George Iosifidis, Anil Kumar Chorppath, Tansu Alpcan +1
In this paper, we study spectrum allocation mechanisms in hierarchical multi-layer markets which are expected to proliferate in the near future based on the current spectrum policy…
Competition and Regulation in Wireless Services Markets
Omer Korcak, George Iosifidis, Tansu Alpcan +1
We consider a wireless services market where a set of operators compete for a large common pool of users. The latter have a reservation utility of U0 units or, equivalently, an alt…
The impact of energy constraints on the medium access
Lazaros Gkatzikis, Georgios S. Paschos, Iordanis Koutsopoulos
Contemporary mobile devices are battery powered and due to their shrinking size and increasing complexity operate on a tight energy budget. Thus, energy consumption is becoming one…
Control and Optimization Meet the Smart Power Grid - Scheduling of Power Demands for Optimal Energy Management
Iordanis Koutsopoulos, Leandros Tassiulas
The smart power grid aims at harnessing information and communication technologies to enhance reliability and enforce sensible use of energy. Its realization is geared by the funda…