124 citations · 253 across the 36 of their papers we have counts for
6 papers · 1 filter
Latency-Aware Client Assignment for Parallel Split Learning With Global Sampling
Mohammad Kohankhaki, Valentin Rentschler, Anke Schmeink
In cross-silo split learning, Parallel Split Learning with Global Sampling forms representative pooled batches when class distributions differ across clients, but ignores client de…
Concurrent Split Learning Through Stable Client Clustering
Mohammad Kohankhaki, Valentin Rentschler, Anke Schmeink
Training with a fixed global batch limits how many distributed clients can provide examples in any one step. We examine a way to use additional server workers without increasing th…
Block Erasure Channel and Block z-Channel with Bounded Decoders and Finite Blocklength
Bin Han, Yao Zhu, Rafael F. Schaefer +5
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 sel…
AoI-Oriented Globally Optimal Joint Source and Update Scheduling in Fluid Antenna Systems
Xiaopeng Yuan, Paul Zheng, Anke Schmeink
As a promising technique, fluid antennas enable adaptive radio environment management and interference mitigation through reconfigurable fluid port selections. In this work, to exp…
Minimizing Quantized Semantic Age of Information (QSAoI) in Foundation Model-Based Semantic Communications
Huanyu Zhang, Yulin Hu, Xiaopeng Yuan +2
The emerging techniques of semantic communications and edge computing in 6G networks necessitate a paradigm shift toward co-designed semantic-aware and adaptive resource allocation…
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung +2
Resource constraints increasingly determine what can be trained, fine-tuned, and deployed in large language models (LLMs), yet efficiency is often studied through isolated techniqu…