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cs.NI2026
Multi-Generator Continual Learning for Robust Delay Prediction in 6G
Xiaoyu Lan, Jalil Taghia, Hannes Larsson +1
In future 6G networks, dependable networks will enable telecommunication services such as remote control of robots or vehicles with strict requirements on end-to-end network perfor…
cs.NI2024
Towards Neural Architecture Search for Transfer Learning in 6G Networks
Adam Orucu, Farnaz Moradi, Masoumeh Ebrahimi +1
The future 6G network is envisioned to be AI-native, and as such, ML models will be pervasive in support of optimizing performance, reducing energy consumption, and in coping with…