Kilian Pfeiffer

According to our database, Kilian Pfeiffer authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Energy-Aware Heterogeneous Federated Learning via Approximate DNN Accelerators.

Kilian Pfeiffer, Konstantinos Balaskas, Kostas Siozios, Jörg Henkel

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2025

Accelerated Training on Low-Power Edge Devices.

Mohamed Aboelenien Ahmed, Kilian Pfeiffer, Heba Khdr, Osama Abboud, Ramin Khalili, Jörg Henkel

CoRR, February, 2025

Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices.

Mohamed Aboelenien Ahmed, Kilian Pfeiffer, Ramin Khalili, Heba Khdr, Jörg Henkel

CoRR, February, 2025

2024

Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices.

Kilian Pfeiffer, Mohamed Aboelenien Ahmed, Ramin Khalili, Jörg Henkel

CoRR, 2024

Energy-Aware Heterogeneous Federated Learning via Approximate Systolic DNN Accelerators.

Kilian Pfeiffer, Konstantinos Balaskas, Kostas Siozios, Jörg Henkel

CoRR, 2024

2023

CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization.

Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel

Trans. Mach. Learn. Res., 2023

Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey.

Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel

ACM Comput. Surv., 2023

Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices.

Kilian Pfeiffer, Ramin Khalili, Jörg Henkel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

CoCo-FL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization.

Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel

CoRR, 2022

DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems.

Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2019

Visual Person Understanding Through Multi-task and Multi-dataset Learning.

Kilian Pfeiffer, Alexander Hermans, István Sárándi, Mark Weber, Bastian Leibe

Proceedings of the Pattern Recognition, 2019