Abstract: A concept for Federated Learning which is more efficient and/or robust is presented. Beyond this, concepts for specifying clients and/or measuring training data similarities in a manner more suitable for being applied in Federated Learning environments, are described.

Abstract: The present application is concerned with several aspects of improving the efficiency of distributed learning.

Abstract: The invention relates to a method and system for analyzing messages transmitted in a communication network. An embodiment of the method comprises the steps of: determining an information-related citation index indicating how often information comprised in a message has been forwarded in consecutive messages to other users of the communication network, and providing an analysis result based on the information-related citation index.

Abstract: The invention relates to a sensor system and several method for the capacitive measurement of electromagnetic signals having a biological origin. Such a sensor system comprises a capacitive electrode device (10), an electrode shielding element (20) which surrounds the electrode device (10) at least in part in order to shield the same (10) from interfering external electromagnetic fields, and a signal processing device (30) for processing electromagnetic signals that can be detected by means of the electrode device (10). According to the invention, additional shielding means (21) three-dimensionally surround the electrode device (10) and the electrode shielding element (20) at least in part in order to block out interfering external electromagnetic fields. The changes in the electrode capacity of the capacitive sensor system are determined with the aid of several methods which particularly use the inventive sensor system in order to take said changes into account when the test signals are evaluated.

Abstract: The invention is concerned with a method and an apparatus for automatic comparison of at least two data sequences characterized in—an evaluation of a local relationship between any pair of subsequences in two or more sequences; —an evaluation of a global relationship by means of aggregation of the evaluations of said local relationships.

Abstract: The invention relates to a method and a device for detection of splice sites in DNA or RNA sequences comprising three steps: a) examining a training set of sequences comprising DNA or RNA sequences with known splice sites by an automated, discriminative training device for detecting splicing patterns, especially in a predetermined window around the known splice sites; b) scanning a sequence comprising DNA or RNA sequences containing unknown splice sites for the occurrence of the splicing patterns detected in step a); and c) calculation of a cumulative splice score in dependence of a maximization of the margin between the true splice forms and all wrong splice forms in the sequence. The invention also relates to a method and a device for detection of splice forms and alternative splice forms in DNA or RNA sequences.

Abstract: The invention is concerned with a method for automatic online detection and classification of anomalous objects in a data stream, especially comprising datasets and/or signals, wherein a) the detection of at least one incoming data stream containing normal and anomalous objects, b) automatic construction of a geometric representation of normality the incoming objects of the data stream at a time t1 subject to at least one predefined optimality condition, especially the construction of a hypersurface enclosing a finite number of normal objects, c) online adaptation of the geometric representation of normality in respect to received at least one received object at a time t2, which is greater than t1, the adaptation being subject to at least one predefined optimality condition, d) online determination of a normality classification for received objects at t2 in respect to the geometric representation of normality, e) automatic classification of normal objects and anomalous objects based on the generated normality

Abstract: In a method for detecting the modes of a dynamic system with a large number of modes that each have a set ? (t) of characteristic system parameters, a time series of at least one system variable x(t) is subjected to modeling, for example switch segmentation, so that in each time segment of a predetermined minimum length a predetermined prediction model, for example a neural network, for a system mode is detected for each system variable x(t), whereby modeling of the time series is followed by drift segmentation in which, in each time segment in which there is transition of the system from a first system mode to a second system mode, a series of mixed prediction models is detected produced by linear, paired superimposition of the prediction models of the two system modes.

Abstract: In the method for initiating occupant-assisted measures inside a vehicle, particularly a motor vehicle, cerebral-current signals of at least one vehicle occupant, particularly of the driver, are detected by a measurement technique. On the basis of the cerebral-current signals, the intention of the vehicle occupant is estimated or detected by real-time processing. Based the intention of the vehicle occupant, measures for transferring the current state of the vehicle into a state of the vehicle matched to the intention of the vehicle occupant are initiated in advance.