4 citations · 7 across the 10 of their papers we have counts for
13 papers
Adversarially Guided Diffusion for LiDAR Range Image Synthesis
Stavros Bouras, Antonios Makris, Alexandros Gkillas +2
LiDAR semantic segmentation is a key perception task in autonomous driving, where false predictions can affect downstream planning and safety-critical decision-making. Although adv…
Enabling Adversarial Robustness in AI Models through Kubeflow MLOps
Stavros Bouras, Ioannis Korontanis, Antonios Makris +1
AI models are increasingly deployed in cloud-native environments to support scalable and automated services. However, while platforms such as Kubernetes provide strong infrastructu…
A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions
Antonios Makris, Christos Dousis, Emmanouil Kritharakis +2
Federated Learning has emerged as a transformative paradigm for collaborative machine learning across distributed environments. However, its performance is strongly influenced by t…
FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning
Emmanouil Kritharakis, Antonios Makris, Dusan Jakovetic +1
Federated Learning (FL) enables collaborative model training across multiple clients while preserving data privacy by keeping local datasets on-device. In this work, we address FL…
Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering
Emmanouil Kritharakis, Dusan Jakovetic, Antonios Makris +1
Federated Learning (FL) enables collaborative model training across multiple clients without sharing private data. We consider FL scenarios wherein FL clients are subject to advers…
A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services
Theodoros Theodoropoulos, John Violos, Antonios Makris +1
Conventional latency metrics are formulated based on a broad definition of traditional monolithic services, and hence lack the capacity to address the complexities inherent in mode…
Converter: A CEAML Reasoner Python package to Streamline Orchestration Across Cloud and Edge Continuum
Ioannis Korontanis, Antonios Makris, Konstantinos Tserpes
In recent years, there has been a concerted effort in both industry and research sectors to innovate new approaches to DevOps. The primary aim is to facilitate developers in transi…
Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement
Antonios Makris, Theodoros Theodoropoulos, Evangelos Psomakelis +4
The shift from Cloud Computing to a Cloud-Edge continuum presents new opportunities and challenges for data-intensive and interactive applications. Edge computing has garnered a lo…
WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
Theodoros Theodoropoulos, Angelos-Christos Maroudis, Antonios Makris +1
Regional traffic forecasting is a critical challenge in urban mobility, with applications to various fields such as the Internet of Everything. In recent years, spatio-temporal gra…
Cross-Cluster Networking to Support Extended Reality Services
Theodoros Theodoropoulos, Luis Rosa, Abderrahmane Boudi +6
Extented Reality (XR) refers to a class of contemporary services that are intertwined with a plethora of rather demanding Quality of Service (QoS) and functional requirements. Desp…
An evaluation of time series forecasting models on water consumption data: A case study of Greece
Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes +1
In recent years, the increased urbanization and industrialization has led to a rising water demand and resources, thus increasing the gap between demand and supply. Proper water di…
TraClets: Harnessing the power of computer vision for trajectory classification
Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes +1
Due to the advent of new mobile devices and tracking sensors in recent years, huge amounts of data are being produced every day. Therefore, novel methodologies need to emerge that…
Implementation of functions in R tool in parallel environment
Antonios Makris
Drug promiscuity and polypharmacology are much discussed topics in pharmaceutical research. Drug repositioning applies established drugs to new disease indications with increasing…