Kilian Pfeiffer

16 papers A* 2Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerated Training on Low-Power Edge Devices. CoRR Mohamed Aboelenien Ahmed, Kilian Pfeiffer, Heba Khdr, Osama Abboud, Ramin Khalili, Jörg Henkel
2025	J	`jnl`	Accelerated Training on Low-Power Edge Devices. Trans. Mach. Learn. Res. Mohamed Aboelenien Ahmed, Kilian Pfeiffer, Osama Abboud, Ramin Khalili, Heba Khdr, Jörg Henkel
2025	J	`jnl`	Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices. CoRR Mohamed Aboelenien Ahmed, Kilian Pfeiffer, Ramin Khalili, Heba Khdr, Jörg Henkel
2025	J	`jnl`	Energy-Aware Heterogeneous Federated Learning via Approximate DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Kilian Pfeiffer, Konstantinos Balaskas, Kostas Siozios, Jörg Henkel
2024	J	`jnl`	Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devices. CoRR Kilian Pfeiffer, Mohamed Aboelenien Ahmed, Ramin Khalili, Jörg Henkel
2024	J	`jnl`	Energy-Aware Heterogeneous Federated Learning via Approximate Systolic DNN Accelerators. CoRR Kilian Pfeiffer, Konstantinos Balaskas, Kostas Siozios, Jörg Henkel
2023	A*	`conf`	Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices. NeurIPS Kilian Pfeiffer, Ramin Khalili, Jörg Henkel
2023	J	`jnl`	Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices. CoRR Kilian Pfeiffer, Ramin Khalili, Jörg Henkel
2023	J	`jnl`	CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. Trans. Mach. Learn. Res. Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
2023	J	`jnl`	Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey. ACM Comput. Surv. Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
2023	J	`jnl`	Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey. CoRR Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
2022	J	`jnl`	CoCo-FL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization. CoRR Kilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel
2022	A*	`conf`	DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. AAAI Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel
2021	J	`jnl`	DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems. CoRR Martin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel
2019	—	`conf`	Visual Person Understanding Through Multi-task and Multi-dataset Learning. GCPR Kilian Pfeiffer, Alexander Hermans, István Sárándi, Mark Weber, Bastian Leibe
2019	J	`jnl`	Visual Person Understanding through Multi-Task and Multi-Dataset Learning. CoRR Kilian Pfeiffer, Alexander Hermans, István Sárándi, Mark Weber, Bastian Leibe