Manuel Röder - RankMe

15 papers A 1B 3C 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning in federated and dynamic environments: A tutorial on challenges, trends, and practical strategies. Neurocomputing Mirko Polato, Barbara Hammer, Manuel Röder, Frank-Michael Schleif
2026	J	`jnl`	The evolution of resource-aware cooperation in federated learning. Neurocomputing Manuel Röder, Gengcheng Lyu, Fabian Geiger, Frank-Michael Schleif
2025	J	`jnl`	Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation. CoRR Manuel Röder, Christoph Raab, Frank-Michael Schleif
2025	B	`conf`	Driving Cooperation in Federated Learning via Evolutionary Game Theory. IJCNN Manuel Röder, Fabian Geiger, Frank-Michael Schleif
2025	—	`conf`	On the Use of Smooth-L1 Approximation in Echo State Networks for Sparse and Efficient Temporal Modeling. IDEAL (1) Gengcheng Lyu, Manuel Röder, Frank-Michael Schleif
2024	C	`conf`	Crossing Domain Borders with Federated Few-Shot Adaptation. ICPRAM Manuel Röder, Maximilian Münch, Christoph Raab, Frank-Michael Schleif
2024	—	`conf`	Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data. IAL@PKDD/ECML Manuel Röder, Frank-Michael Schleif
2024	J	`jnl`	Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data. CoRR Manuel Röder, Frank-Michael Schleif
2024	B	`conf`	Sparse Uncertainty-Informed Sampling from Federated Streaming Data. ESANN Manuel Röder, Frank-Michael Schleif
2024	J	`jnl`	Sparse Uncertainty-Informed Sampling from Federated Streaming Data. CoRR Manuel Röder, Frank-Michael Schleif
2023	J	`jnl`	Efficient Cross-Domain Federated Learning by MixStyle Approximation. CoRR Manuel Röder, Leon Heller, Maximilian Münch, Frank-Michael Schleif
2023	J	`jnl`	Static and adaptive subspace information fusion for indefinite heterogeneous proximity data. Neurocomputing Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif
2023	A	`conf`	Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models. CIKM Maximilian Münch, Manuel Röder, Frank-Michael Schleif
2022	B	`conf`	Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification. ESANN Maximilian Münch, Christoph Raab, Simon Heilig, Manuel Röder, Frank-Michael Schleif
2022	J	`jnl`	Domain adversarial tangent subspace alignment for explainable domain adaptation. Neurocomputing Christoph Raab, Manuel Röder, Frank-Michael Schleif