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Georgios Drainakis
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2020 – today
- 2024
- [c10]Georgios Drainakis, Panagiotis Pantazopoulos, Konstantinos V. Katsaros, Vasilis Sourlas, Angelos Amditis, Dimitra I. Kaklamani:
Distributed Predictive QoS in Automotive Environments Under Concept Drift. IFIP Networking 2024: 549-554 - [c9]Peristera A. Baziana, Georgios Drainakis, David Georgantas, Adonis Bogris:
AI and ML Applications Traffic: Designing Challenges for Performance Optimization of Optical Data Center Networks. SoftCOM 2024: 1-6 - 2023
- [j5]Georgios Drainakis
, Panagiotis Pantazopoulos
From centralized to Federated Learning: Exploring performance and end-to-end resource consumption. Comput. Networks 225: 109657 (2023) - [j4]Georgios Drainakis, Peristera A. Baziana
Scalable and low server-to-server latency data center network architecture based on optical packet inter-rack and intra-rack switching. JOCN 15(11): 804-819 (2023) - [c8]Georgios Drainakis, Peristera A. Baziana
Optical Intra- and Inter-Rack Switching Architecture for Scalable, Low-Latency Data Center Networks. ISCC 2023: 1348-1351 - 2022
- [j3]Konstantinos V. Katsaros, Eirini Liotou, Francesca Moscatelli, Theodoros Rokkas, Georgios Drainakis, Edoardo Bonetto
Enabling Far-Edge Intelligent Services with Network Applications: The Automotive Case. IEEE Internet Things Mag. 5(4): 122-128 (2022) - [j2]Peristera A. Baziana
Collision-free distributed MAC protocol for passive optical intra-rack data center networks. JOCN 14(8): 654-666 (2022) - [j1]Peristera A. Baziana
Software-defined optical intra-data center network and access control Strategy. Opt. Switch. Netw. 45: 100679 (2022) - [c7]Markos Antonopoulos, Giorgos Drainakis, Eleftherios Ouzounoglou, Giorgos Papavassiliou
Design and proof of concept of a prediction engine for decision support during cyber range attack simulations in the maritime domain. CSR 2022: 305-310 - 2021
- [c6]Georgios Drainakis, Panagiotis Pantazopoulos
On the Distribution of ML Workloads to the Network Edge and Beyond. INFOCOM Workshops 2021: 1-6 - [c5]Georgios Drainakis, Panagiotis Pantazopoulos
On the Resource Consumption of Distributed ML. LANMAN 2021: 1-6 - [c4]Vasilis Sourlas
A Distributed ML Framework for Service Deployment in the 5G-based Automotive Vertical. MeditCom 2021: 246-251 - [c3]Peristera A. Baziana
A Scalable Optical Intra-Cluster Data Center Network with an Efficient WDMA protocol: Performance and Power Consumption Study. WOCC 2021: 284-288 - 2020
- [c2]Richardos Drakoulis, Anastasia Bolovinou, Georgios Drainakis, Angelos Amditis
Vehicle maneuver-based long-term trajectory prediction at intersection crossings. CAVS 2020: 1-6 - [c1]Georgios Drainakis, Konstantinos V. Katsaros
Federated vs. Centralized Machine Learning under Privacy-elastic Users: A Comparative Analysis. NCA 2020: 1-8
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