Dynamic ML Models for Evolving Networks: What, Where and How?

Aleksandra Knapinska; Marija Furdek Prekratic

Dynamic ML Models for Evolving Networks: What, Where and How?
Paper i proceeding, 2026

Modern networks and threats evolve rapidly, challenging deployed machine-learning models. We address performance degradation of offline-trained models in post-failure traffic prediction and threat detection by proposing data-stream-based updating strategies for real-time optical network resilience evolution.

Författare

Aleksandra Knapinska

Politechnika Wrocławska

Forskning Andra publikationer

Marija Furdek Prekratic

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Forskning Andra publikationer

2026 Optical Fiber Communications Conference and Exhibition Ofc 2026 Proceedings

9781957171548 (ISBN)

2026 Optical Fiber Communications Conference and Exhibition, OFC 2026
Los Angeles, USA,

5G betrodda och säkra nätverkstjänster (5G-TACTIC)

Europeiska kommissionen (EU) (EC/H2020/101127973), 2023-12-01 -- 2026-11-30.

VINNOVA (2026-01821), 2026-06-01 -- 2026-11-30.

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Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier (SSIF 2025)

Kommunikationssystem

Telekommunikation

Mer information

Senast uppdaterat

2026-06-29

Dynamic ML Models for Evolving Networks: What, Where and How? Paper i proceeding, 2026