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Robert Schober

8 papers hereh-index 217 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.ET1
  • cs.RO1
  • eess.IV1
  • eess.SP1
  • q-bio.OT1
same name
  • Robert Schober — 27 papers, h 14
  • Robert Schober — 21 papers, h 10
  • Robert Schober — 16 papers, h 6
  • Robert Schober — 12 papers, h 6
  • Robert Schober — 11 papers, h 6
  • Robert Schober — 11 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing 2025Show all

4 papers · 1 filter

eess.SP2025

Molecule Mixture Detection and Alphabet Design for Non-linear, Cross-reactive Receiver Arrays in MC

Bastian Heinlein, Kaikai Zhu, Sümeyye Carkit-Yilmaz +6

Air-based molecular communication (MC) has the potential to be one of the first MC systems to be deployed in real-world applications, enabled by existing sensor technologies such a…

cs.LG2025

PWC-MoE: Privacy-Aware Wireless Collaborative Mixture of Experts

Yang Su, Na Yan, Yansha Deng +1

Large language models (LLMs) hosted on cloud servers alleviate the computational and storage burdens on local devices but raise privacy concerns due to sensitive data transmission…

q-bio.OT2025

Modeling and Optimization of Insulin Injection for Type-1 Diabetes Mellitus Management

Rinrada Jadsadaphongphaibool, Dadi Bi, Christian D. Lorenz +2

Diabetes mellitus is a global health crisis characterized by poor blood sugar regulation, impacting millions of people worldwide and leading to severe complications and mortality.…

cs.LG2025

Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions

Na Yan, Yang Su, Yansha Deng +1

Federated learning (FL) provides a privacy-preserving solution for fine-tuning pre-trained large language models (LLMs) using distributed private datasets, enabling task-specific a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.