Abstract: Apparatuses and methods are provided for classifying textual content using a text classifier for determining to which class the textual content belongs. After classification, the text classifier provides the classification result and a context relevant to the classification result to an explanation system. The explanation system predicts, from the classification result and the context relevant to the classification result, one or more reasons behind the classification result.

Abstract: There is provided a client adapted for generating personalized cold-start federated recommendations for a user of the client. The client generates personalized recommendations for three cold-start scenarios, namely i) recommendation of an item to a new user which does not have any history of user-item interactions, ii) recommendation of a new item to a set of the most prospective users where the item has no history, and iii) recommendation of a new item to a new user, where there is no history associated with either the user or the item. The client uses a federated multi-view matrix factorization method to generate cold-start recommendations without transferring users' personal data to a remote server. Further, a server and a content provider for assisting in generating the personalized cold-start recommendations are provided in a federated set-up according to some aspects.

Abstract: A user equipment includes a processor configured to download a master machine learning model for generating a user recommendation related to use of an application of the user equipment, calculate a model update for the master machine learning model using the master machine learning model and data related to one or more of a user of the user equipment or a user interaction with the user equipment, encode the calculated model update using an ?-differential privacy mechanism and transmit the ?-differential privacy encoded model update.

Abstract: A Federated learning server and a method are provided. The Federated learning server is configured to aggregate a plurality of received model updates to update a master machine learning model. Once a pre-defined threshold or interval for received model updates is reached, a set of current hyper-parameter values and corresponding validation set performance metrics obtained from the updated master machine learning model are sent to a hyper-parameter optimization model. The optimization model infers the next set of optimal hyper-parameters using pairwise history of hyper-parameter values and the corresponding performance metrics. The inferred hyper-parameter values are sent to the Federated Learning server which updates the master machine learning model with the updated set of hyper-parameter values and redistributes the updated master machine learning model with the updated set of hyper-parameter values.

Abstract: A client including a processor and a memory having computer readable instructions stored thereon that, when executed by the processor, cause the client to connect to a server utilizing a global set of items and at least one model. The client is also caused to utilize at least one model downloaded from said server. The client is additionally caused to generate a recommendation set, including at least one of said items based on said at least one of said downloaded models and a local client data set stored on said client. The recommendation set includes a personalized item recommendation for a user of said client.

Abstract: A computer implemented method and apparatus for just-in-time transcoding. The method comprises receiving at a media server, video content, wherein the video content comprises a plurality of key frames and delta frames; generating, in response to receiving the video content, metadata, wherein the metadata is a lookup table of the plurality of key frames; storing the video content and the metadata; receiving a first request to view video content; generating a playlist for the video content; receiving a second request to view a video segment of the video content; and transcoding the video segment; and transmitting the transcoded video segment.

Abstract: A computer implemented method and apparatus for just-in-time transcoding. The method comprises receiving at a media server, video content, wherein the video content comprises a plurality of key frames and delta frames; generating, in response to receiving the video content, metadata, wherein the metadata is a lookup table of the plurality of key frames; storing the video content and the metadata; receiving a first request to view video content; generating a playlist for the video content; receiving a second request to view a video segment of the video content; and transcoding the video segment; and transmitting the transcoded video segment.

Abstract: A method of data storage management. A server receives a data upload request from a remote client, the upload request including information identifying the data to be uploaded. The server determines that a duplicate of the data is stored at a data storage device. The server receives proof of possession information derived by the client from the data using additional information known to the server. On the basis of the received information, the server determines whether to allow the client or a user associated with the client to subsequently access the duplicate data stored at the data storage device.

Abstract: In accordance with an example embodiment of the present invention, there is provided an apparatus, including a receiver for receiving, from a client device, a data upload request relating to a data management application, wherein a data communications connection having a first data upload speed is utilized between the client device and a data management server; a processor configured to determine whether the client device is allowed to use a second data upload speed on the basis of the received data upload request, wherein the second data upload speed is faster than the first data upload speed; and a processor configured to establish the second data upload speed for the client device, if the client device is allowed to use the second data upload speed.

Abstract: A method of data storage management. A server receives a data upload request from a remote client, the upload request including information identifying the data to be uploaded. The server determines that a duplicate of the data is stored at a data storage device. The server receives proof of possession information derived by the client from the data using additional information known to the server. On the basis of the received information, the server determines whether to allow the client or a user associated with the client to subsequently access the duplicate data stored at the data storage device.