A. Schmeink

Block Erasure Channel and Block z-Channel with Bounded Decoders and Finite Blocklength

Block error rate is a standard metric in finite blocklength (FBL) communication, yet it conflates two qualitatively different failure modes: block confusions, where the decoder selects a wrong codeword, and block erasures, where it declares a loss. Higher-layer protocols treat physical-layer failures as erasures, but t...

Feature-Sensitivity-Aware Quantization and Joint Multi-Streaming Design for Latency-Constrained Multi-Task Semantic Communications

Semantic communications have emerged as promising solutions for improving efficiency by transmitting relevant semantics instead of raw bits. However, for latency-critical applications, the stringent low-latency requirements pose significant challenges for semantics transfer, especially in cases with diverse user demand...

Latency-Aware Client Assignment for Parallel Split Learning With Global Sampling

Latency Budgeted Parallel Split Learning with Global Sampling introduces Latency Budgeted Parallel Split Learning with Global Sampling, which separates each pooled batch's integer class target from the choice of clients that supply its examples.

Pinching Antenna Assisted UAV-Enabled Covert Communication Against Cooperative Detection

Concurrent Split Learning Through Stable Client Clustering

Measurements characterize a trade-off among execution concurrency, assignment information, participation, and accuracy for stable-client split learning for stable-client split learning.

AoI-Oriented Globally Optimal Joint Source and Update Scheduling in Fluid Antenna Systems

This work considers a fluid-antenna assisted status update system supported by multiple source nodes monitoring the same environmental status, and proposes an efficient bisection algorithm for optimal update scheduling which efficiently eliminates all non-optimal source scheduling decisions.