Meta-Transfer Learning for mmWave Beam Alignment

Name: Meta-Transfer Learning for mmWave Beam Alignment
Uploaded: 2026-10-06T19:49:18.274335+00:00
Duration: 330 s
Description: MTL-BA is a meta-transfer learning method for mmWave beam alignment that freezes a pre-trained convolutional backbone. It meta-learns only lightweight ScaleandShift (SS) adapters and a classifier head. This allows the system to adapt quickly to new deployment environments with significantly reduced computational cost and fewer training epochs than traditional methods like MAML.

MTL-BA is a meta-transfer learning method for mmWave beam alignment that freezes a pre-trained convolutional backbone. It meta-learns only lightweight ScaleandShift (SS) adapters and a classifier head. This allows the system to adapt quickly to new deployment environments with significantly reduced computational cost and fewer training epochs than traditional methods like MAML.

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