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The following papers:

“FedAVOT: Exact Distribution Alignment in Federated Learning via Masked Optimal Transport”

“Ultra-Reliable Risk-Aggregated Sumrate Maximization via Model-Aided Deep Learning”

“Data-Driven Two-Stage IRS-Aided Sumrate Maximization with Inexact Precoding”

have been accepted to ICASSP 2026.

Posted in News Archive

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