Short Bio
Kilian Pfeiffer received his B.Sc. and M.Sc. degree in Electrical and Computer Engineering from the Technical University of Munich in 2017 and 2020, respectively. Since 2020, he is pursuing his Ph.D. under the supervision of Prof. Dr. Jörg Henkel at the Karlsruhe Institute of Technology.
Publications
| Journals | |
|---|---|
| Kilian Pfeiffer, Konstantinos Balaskas, Kostas Siozios, Jörg Henkel Energy-Aware Heterogeneous Federated Learning via Approximate DNN Accelerators in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, DOI, PDF, Early Access 2024. | |
| Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey in ACM Computing Surveys (Volume 55, Issue 14s), DOI, PDF, Jul 2023. | |
| Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization in Transactions on Machine Learning Research (TMLR), DOI, PDF, Jun 2023. |
| Conferences | |
|---|---|
| Kilian Pfeiffer, Ramin Khalili, Jörg Henkel Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices in 37th Advances in Neural Information Processing Systems (NeurIPS'23), New Orleans, USA, DOI, PDF, Dec 10 - 17 2023. | |
| Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems in Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI'22), Vancouver, Canada, DOI, PDF, Feb 22 - Mar 01 2022. |   |
| arXiv | |
|---|---|
| Mohamed Aboelenien Ahmed, Kilian Pfeiffer, Heba Khdr, Osama Abboud, Ramin Khalili, Jörg Henkel Accelerated Training on Low-Power Edge Devices in arxiv, DOI, PDF, 2025. | |
| Mohamed Aboelenien Ahmed, Kilian Pfeiffer, Ramin Khalili, Heba Khdr, Jörg Henkel Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices in arxiv, DOI, PDF, 2025. | |
| Kilian Pfeiffer, Mohamed Aboelenien Ahmed, Ramin Khalili, Jörg Henkel Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices in arxiv, DOI, PDF, 2024. |
Student Theses
| Name | Type of work | Title | Mentor | Completion date |
|---|---|---|---|---|
| Fischer, Dominik | Master thesis | Federated Learning with Concept Drift | Pfeiffer, Kilian | 2024-06-07 |
| Klausner, Tobias | Bachelor thesis | Asynchronous Federated Learning with Resource-Correlated Non-IID Data | Pfeiffer, Kilian | 2024-02-29 |
| Buscher, Julian | Master thesis | Model Update Quality in Federated Learning | Pfeiffer, Kilian | 2023-08-17 |
| Kızılçelik, Barış Umut | Bachelor thesis | Development of an ML Library Agnostic Federated Learning Framework for Embedded Hardware | Pfeiffer, Kilian | 2023-03-13 |
| Uhl, Hannes | Master thesis | Performance and Energy Modeling of CNN Inference and Training on Embedded GPUs | Pfeiffer, Kilian / Rapp, Martin | 2022-05-02 |
| Schmitt, Matthias | Master thesis | Latent Space Knowledge Distillation under Heterogeneous Data | Pfeiffer, Kilian / Rapp, Martin | 2021-12-01 |