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Aristide T.-J. Akem

Aristide Tanyi-Jong Akem

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2020 – today

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2024
[c10]
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  - conf/infocom/GucciardoBAF24
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Michele Gucciardo, Beyza Bütün, Aristide Tanyi-Jong Akem, Marco Fiore:
Evaluating the Impact of Flow Length on the Performance of In-Switch Inference Solutions. INFOCOM (Workshops) 2024: 1-6
[c9]
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Aristide Tanyi-Jong Akem, Beyza Bütün, Michele Gucciardo, Marco Fiore:
Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches. INFOCOM 2024: 1631-1640
[c8]
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Aristide Tanyi-Jong Akem, Marco Fiore:
Towards Data-Driven Management of Mobile Networks through User Plane Inference. NOMS 2024: 1-4
[c7]
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Aristide Tanyi-Jong Akem, Guillaume Fraysse, Marco Fiore:
Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning. NOMS 2024: 1-9
2023
[c6]
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Aristide Tanyi-Jong Akem, Michele Gucciardo, Marco Fiore:
Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests. INFOCOM 2023: 1-10
[c5]
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Michele Gucciardo, Aristide Tanyi-Jong Akem, Beyza Bütün, Marco Fiore:
Demonstrating Flow-Level In-Switch Inference. INFOCOM Workshops 2023: 1-2
[c4]
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Beyza Bütün, Aristide Tanyi-Jong Akem, Michele Gucciardo, Marco Fiore:
Fast Detection of Cyberattacks on the Metaverse through User-plane Inference. MetaCom 2023: 350-354
[c3]
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Aristide Tanyi-Jong Akem, Beyza Bütün, Michele Gucciardo, Marco Fiore:
Showcasing In-Switch Machine Learning Inference. NetSoft 2023: 299-301
2022
[c2]
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  - conf/conext/AkemBGF22
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Aristide Tanyi-Jong Akem, Beyza Bütün, Michele Gucciardo, Marco Fiore:
Henna: hierarchical machine learning inference in programmable switches. NativeNI@CoNEXT 2022: 1-7
2020
[c1]
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Aristide T.-J. Akem, Edwin Mugume:
A Machine Learning Approach to Temporal Traffic-Aware Energy-Efficient Cellular Networks. UEMCON 2020: 628-634

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