Konstantinos V. Katsaros

◀ ▶ joint publications with Panagiotis Pantazopoulos

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Publications

2024
[j19]
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Ippokratis Sartzetakis, Polyzois Soumplis, Panagiotis Pantazopoulos, Konstantinos V. Katsaros, Vasilis Sourlas, Emmanouel A. Varvarigos:
Edge/Cloud Infinite-Time Horizon Resource Allocation for Distributed Machine Learning and General Tasks. IEEE Trans. Netw. Serv. Manag. 21(1): 697-713 (2024)
2023
[j18]
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Georgios Drainakis, Panagiotis Pantazopoulos, Konstantinos V. Katsaros, Vasilis Sourlas, Angelos Amditis, Dimitra I. Kaklamani:
From centralized to Federated Learning: Exploring performance and end-to-end resource consumption. Comput. Networks 225: 109657 (2023)
2022
[c39]
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Ippokratis Sartzetakis, Polyzois Soumplis, Panagiotis Pantazopoulos, Konstantinos V. Katsaros, Vasilis Sourlas, Emmanouel Manos Varvarigos:
Resource Allocation for Distributed Machine Learning at the Edge-Cloud Continuum. ICC 2022: 5017-5022
2021
[c38]
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  - conf/infocom/DrainakisPKSA21
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Georgios Drainakis, Panagiotis Pantazopoulos, Konstantinos V. Katsaros, Vasilis Sourlas, Angelos Amditis:
On the Distribution of ML Workloads to the Network Edge and Beyond. INFOCOM Workshops 2021: 1-6
[c37]
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  - conf/lanman/DrainakisPKSA21
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Georgios Drainakis, Panagiotis Pantazopoulos, Konstantinos V. Katsaros, Vasilis Sourlas, Angelos Amditis:
On the Resource Consumption of Distributed ML. LANMAN 2021: 1-6
[c36]
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  - conf/meditcom/SourlasRKPDA21
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Vasilis Sourlas, Amr Rizk, Konstantinos V. Katsaros, Panagiotis Pantazopoulos, Georgios Drainakis, Angelos Amditis:
A Distributed ML Framework for Service Deployment in the 5G-based Automotive Vertical. MeditCom 2021: 246-251
2020
[c35]
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  - conf/nca/DrainakisKPSA20
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Georgios Drainakis, Konstantinos V. Katsaros, Panagiotis Pantazopoulos, Vasilis Sourlas, Angelos Amditis:
Federated vs. Centralized Machine Learning under Privacy-elastic Users: A Comparative Analysis. NCA 2020: 1-8

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