Patents by Inventor Konstantinos Vandikas

Konstantinos Vandikas has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250045387
    Abstract: The disclosure relates to methods, a user equipment, a network node and non-transitory computer readable media for protecting a machine learning (ML) model hosted in a network node. The method comprises sending an original request to the ML model hosted in the network node, receiving, from the network node, a request for establishing a secure connection to a post processing module to be installed in a secure enclave of the UE. The method comprises installing the post processing module in the secure enclave and receiving in the secure enclave a response to the original request. The method comprises processing the response to the original request in the secure enclave and obtaining the processed response from the secure enclave, for use by the UE.
    Type: Application
    Filed: April 12, 2022
    Publication date: February 6, 2025
    Inventors: Klaus RAIZER, Hossein SHOKRI GHADIKOLAEI, Konstantinos VANDIKAS, Christian SCHAEFER
  • Publication number: 20250047570
    Abstract: A method by a first node (111) for handling data. The first node (111) obtains (204) one or more first sets of data corresponding to one or more first features used in a first predictive machine learning, ML, model. The data is annotated with an indication. The indication indicates a respective representation of a distribution of the data. The obtaining (204) is performed before the data are used to train the first ML model. The first node (111) determines (205) whether there has been a change in a respective representation of the distribution of the data, before the data are used to train the first ML model. The first node (111) determines (206) whether to send the data and sends (207) a second indication of the data to a third node (113) in response to the determining (206).
    Type: Application
    Filed: March 2, 2022
    Publication date: February 6, 2025
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Konstantinos VANDIKAS, Abdulrahman ALABBASI, Hossein SHOKRI GHADIKOLAEI, Ramamurthy BADRINATH, Athanasios KARAPANTELAKIS
  • Publication number: 20240428528
    Abstract: Embodiments herein disclose a method for facilitating a privacy-aware representation in a system. The method comprises determining using a content analyzer a layout of a scene. Thereafter, one or more objects in the scene is identified using the content analyzer to define a relationship between the objects. A privacy status to be tagged to the one or more identified objects is inferred by using a machine learning model. At least one object is processed based on the privacy status inferred. A privacy-aware representation of the scene is rendered, wherein the privacy-aware representation displays the scene with at least one processed object.
    Type: Application
    Filed: September 15, 2021
    Publication date: December 26, 2024
    Inventors: Konstantinos VANDIKAS, Daniel LINDSTRÖM, Lackis ELEFTHERIADIS, Athanasios KARAPANTELAKIS
  • Publication number: 20240413425
    Abstract: Embodiments disclosed herein relate to methods and apparatus for managing heat transfer to a battery. In one embodiment there is provided a method for managing heat transfer to a battery (105) electrically coupled to an electronic device. The method comprises determining a battery temperature of the battery (210) and a predicted heat source parameter associated with the electronic device (215). A battery heat transfer action (220) in a thermal medium (120b, 320hc) coupled between the battery and the electronic device is performed dependent on the predicted heat source parameter (453h) and a difference between a prescribed wanted battery temperature (453w) and the determined battery temperature (453b).
    Type: Application
    Filed: February 8, 2022
    Publication date: December 12, 2024
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Konstantinos VANDIKAS, Lackis ELEFTHERIADIS, Kristijonas CYRAS, Athanasios KARAPANTELAKIS, Cecilia NYSTRÖM, Divya SACHDEVA, Marin ORLIC, Gabriella NORDQUIST
  • Publication number: 20240406835
    Abstract: There is provided a method for training a reinforcement learning system for optimising routing for a network including a plurality of Integrated Access and Backhaul (IAB) nodes connected to an IAB donor. The method includes acquiring observations characterising a current state of the plurality of IAB nodes, determining an action to be performed based on latest acquired observations, executing the action by initiating update of the routing information based on the determined action, acquiring observations characterising an updated state of the plurality of IAB nodes, determining a reward for the determined action, based on the updated state of the plurality of IAB nodes, storing an experience set, and training the reinforcement learning system to maximise reward with respect to an optimisation objective, using the one or more stored experience sets in the buffer.
    Type: Application
    Filed: August 3, 2021
    Publication date: December 5, 2024
    Inventors: Athanasios KARAPANTELAKIS, Konstantinos VANDIKAS, Marin ORLIC, Maxim TESLENKO, Marios DAOUTIS, Alexandros NIKOU, Aneta VULGARAKIS FELJAN, Lackis ELEFTHERIADIS
  • Publication number: 20240407027
    Abstract: A method performed by a first node for handling aggregation of messages is disclosed. The first node determines out of a plurality of nodes, which nodes are to be paired as a pair of nodes. The pairing is to pass messages to another node for aggregation of information comprised in the messages. The information is to be masked by respective masks of opposite signs. The respective masks are to prevent the another node from accessing the information while enabling their aggregation. The determining is based on a respective measure of reliability of communications of a second node and a third node in the pair of nodes being similar, according to a criterion. The first node initiates an aggregation of the messages passed from the determined pair of nodes to the another node.
    Type: Application
    Filed: February 21, 2022
    Publication date: December 5, 2024
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Konstantinos VANDIKAS, Wenfeng HU, Martin ISAKSSON, Adriano MENDO MATEO, Erik SANDERS
  • Publication number: 20240388095
    Abstract: A power supporting system includes a first power support handling unit and a first power support node, which node has a first bank of energy storage units and a first interface to the power grid with one separate connection per phase and which unit includes a processor acting on computer instructions whereby the unit is operative to obtain phase voltages of the power grid having been measured at least one measurement point and control the first power support node to support at least one of the phase voltages of the power grid based on an analysis of each of the phase voltages with regard to meeting a desired phase voltage level, which support involves using at least one energy storage unit of the first bank of energy storage units.
    Type: Application
    Filed: August 30, 2021
    Publication date: November 21, 2024
    Inventors: Lackis ELEFTHERIADIS, Athanasios KARAPANTELAKIS, Konstantinos VANDIKAS, Maxim TESLENKO, Karthik R M, Oleg GORBATOV, Gabriella NORDQUIST
  • Publication number: 20240353556
    Abstract: A method performed by a communication device in a communication network for augmenting a communication signal message with environmental information relative to the communication device is provided. The method includes performing a first reference signal measurement. The method further includes, responsive to the performing, detecting a plurality of objects in an area proximate the communication device; and generating information about the detected plurality of objects. The method further includes extracting, from the generated information, the environmental information including an environmental description information and a position description information for the plurality of objects relative to the communication device.
    Type: Application
    Filed: August 9, 2021
    Publication date: October 24, 2024
    Inventors: Athanasios KARAPANTELAKIS, Kaushik DEY, Lackis ELEFTHERIADIS, Pedro BATISTA, Konstantinos VANDIKAS, Aneta VULGARAKIS FELJAN, Maxim TESLENKO
  • Publication number: 20240357380
    Abstract: A method performed by a first communication device for managing a decentralized autoencoder for detection or prediction of a minority class from an imbalanced dataset is provided. The method includes signalling a message to communication devices including a set of parameters for the decentralized autoencoder; and receiving a message from a communication device providing information including an amount of local samples and a distribution of labels in the local samples of instances of local majority class samples and/or the local minority class samples. The method further includes computing a computed number of samples and a computed distribution of labels for aggregated local majority class samples and aggregated local minority class samples; and selecting a set of communication devices to include in the decentralized autoencoder based on the communication devices that can satisfy the computed number of samples and the computed distribution of labels.
    Type: Application
    Filed: August 31, 2021
    Publication date: October 24, 2024
    Inventors: Konstantinos VANDIKAS, Selim ICKIN, Wenfeng HU, Erik SANDERS, Paluk GOYAL
  • Publication number: 20240342429
    Abstract: In one aspect, a computer-implemented method of adapting a sensory datastream is provided. The method includes obtaining a raw sensory datastream from a source, wherein the raw sensory datastream comprises input for a sensory actuator of a user device. The method includes obtaining state information, wherein the state information comprises information indicating a first state of a user. The method includes predicting, using a machine learning model, a desired second state of the user based on the obtained state information. The method includes determining an action to adapt the raw sensory datastream based on the desired second state of the user. The method includes adapting the raw sensory datastream in accordance with the determined action and the first state of the user to create a processed sensory datastream. The method includes providing the processed sensory datastream to the sensory actuator of the user device.
    Type: Application
    Filed: August 4, 2021
    Publication date: October 17, 2024
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Athanasios KARAPANTELAKIS, Divya SACHDEVA, Lackis ELEFTHERIADIS, Maxim TESLENKO, Konstantinos VANDIKAS, Alexandros NIKOU, Alessandro PREVITI, Kristijonas CYRAS
  • Publication number: 20240320489
    Abstract: A computer-implemented method (500) for determining, using a machine learning (ML) model, extended reality (XR) notification types for delivering notification of an event to a user is provided.
    Type: Application
    Filed: September 13, 2021
    Publication date: September 26, 2024
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Konstantinos VANDIKAS, Marin ORLIC, Kristijonas CYRAS, Alexandros NIKOU, Alessandro PREVITI
  • Publication number: 20240323826
    Abstract: A method performed by a first node (111). The method is for handling roaming of a wireless device (130) from a first communications network (101). The first node (111) operates in a communications system (100). The first node (111) determines (502) a second communications network (201) to be used by the wireless device (130) for roaming communications. The determining (502) is based at least on: a) a predicted energy supply by the wireless device (130) during a roaming period, and b) a predicted use of data by the wireless device (130) during the roaming period. The first node (111) provides (504) an indication of the determined second communications network (201) to at least one of: a second node (112) operating in the communications system (100) and the wireless device (130).
    Type: Application
    Filed: July 15, 2021
    Publication date: September 26, 2024
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Athanasios KARAPANTELAKIS, Konstantinos VANDIKAS, Maxim TESLENKO, Lackis ELEFTHERIADIS, Aneta VULGARAKIS FELJAN, Xiajing LI, Gabriella NORDQUIST, Marin ORLIC, Alexandros NIKOU, Marios DAOUTIS
  • Publication number: 20240323712
    Abstract: For a set of access nodes of a wireless communication network, data throughput of user plane, UP, traffic and control plane, CP, traffic generated by wireless communication devices being served by the access nodes on a plurality of wireless carrier signals is predicted. Further, mobility of the wireless communication devices is predicted. Further, based on the predicted data throughput and the predicted mobility, it is decided for at least some of the plurality of wireless carrier signals whether the wireless carrier signal is assigned either to serving UP traffic, to serving CP traffic, or to serving both UP traffic and CP traffic.
    Type: Application
    Filed: July 14, 2021
    Publication date: September 26, 2024
    Inventors: Athanasios KARAPANTELAKIS, Maxim TESLENKO, Divya SACHDEVA, Konstantinos VANDIKAS, Kristijonas CYRAS, Lackis ELEFTHERIADIS
  • Publication number: 20240298230
    Abstract: A method performed by a first wireless device (131). The method is for handling detection of cells neighboring a first cell (121) serving the first wireless device (131). The first wireless device (131) receives (307), from another wireless device (134), via device to device communication, a) a first request to collect one or more respective measurements on cells detected by the first wireless device (131), b) a first indication indicating the first cell (121) served by a network node (110) that the request for the one or more respective measurements originates from, and c) a second indication indicating a session to which the request belongs. The first wireless device (131) sends (310), to at least a second wireless device (132), via device to device communication, a) a second request to collect one or more respective measurements on cells detected by the second wireless device (132), b) the first indication, and c) the second indication.
    Type: Application
    Filed: July 2, 2021
    Publication date: September 5, 2024
    Applicant: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Konstantinos VANDIKAS, Selim ICKIN, Jalil TAGHIA, Wenfeng HU
  • Publication number: 20240291548
    Abstract: Methods and apparatus for beam management are provided. A computer-implemented method for beam management includes obtaining measurements of one or more properties of an environment, wherein the environment contains one or more User Equipments (UEs). The method further includes initiating transmission of the obtained property measurements to a machine learning (ML) agent hosting a ML model, and receiving the transmitted property measurements at the ML agent. The method also includes processing the received property measurements using the ML model to suggest one or more beam options for exchanging data with the one or more UEs, from among a plurality of beam options, and selecting, using the one or more suggested beam options, at least one of the one or more suggested beam options. The method additionally includes exchanging data with the one or more UEs using the selected beam options.
    Type: Application
    Filed: July 5, 2021
    Publication date: August 29, 2024
    Inventors: Athanasios KARAPANTELAKIS, Konstantinos VANDIKAS, Maxim TESLENKO, Alexandros NIKOU, Aneta VULGARAKIS FELJAN, Lackis ELEFTHERIADIS, Marin ORLIC, Marios DAOUTIS
  • Patent number: 12069605
    Abstract: A method by a first wireless device, for determining a status of a first cell is described herein. The first wireless device operates in a communications network. The first wireless device sends a request to a plurality of second wireless devices operating in the communications network. The plurality of second wireless devices is within radio range. The request inquires whether or not the first cell is in sleeping state. The first wireless device receives, in response to the sent request, one or more responses from the plurality of second wireless devices. The first wireless device determines whether or not the first cell is in sleeping state, based on the received responses. The methods by a network node and another wireless device receiving an indication indicating a result of the determination are also described.
    Type: Grant
    Filed: December 6, 2018
    Date of Patent: August 20, 2024
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Konstantinos Vandikas, Christofer Flinta, Amos Kao, Valentin Kulyk
  • Patent number: 12062925
    Abstract: A method performed by a first network node (111). The method is for handling charging of a wireless device (130). The first network node (111) and the wireless device (130) operate in a wireless communications network (100). The first network node (111) modulates (307) one or more beam forming beams (121) in an antenna array (124) controlled by the first network node (111) with a pulse width modulation. The first network node (111) then charges (308), wirelessly, the wireless device (130), with the modulated one or more beam forming beams (121).
    Type: Grant
    Filed: October 31, 2019
    Date of Patent: August 13, 2024
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Yifei Jin, Lackis Eleftheriadis, Konstantinos Vandikas, Athanasios Karapantelakis, Maxim Teslenko
  • Publication number: 20240256973
    Abstract: There is provided a computer implemented method for use in a distributed machine learning process for training a machine learning model, wherein the training is distributed across a plurality of computing nodes and updates to the machine learning model, as determined by the plurality of computing nodes, are aggregated using secure multi party computation. The method includes: i) obtaining an aggregated characteristic of updates to the machine learning model provided by a first subset of the plurality of computing nodes; ii) comparing the aggregated characteristic to an equivalent reference; and iii) identifying whether the first subset of nodes are contributing updates that are corrupting the machine learning model, based on the comparison.
    Type: Application
    Filed: May 19, 2021
    Publication date: August 1, 2024
    Inventors: Konstantinos VANDIKAS, Athanasios KARAPANTELAKIS, Sunil Kumar VUPPALA
  • Patent number: 12052145
    Abstract: Federated learning is used to predict network communication performance at an edge node (10-1). The edge node (10-1) trains a local model (14-1) of network communication performance over one or more rounds of training, based on a local training dataset (22-1) and based on multi-node training information (20-1) received in each round of training. This information (20-1) comprises information about local models (14-2, . . . 14-N) at other respective edge nodes (10-2, . . . 10-N) as trained based on local training datasets at the other edge nodes (10-2, . . . 10-N). After or as part of each round of training, the edge node (10-1) transmits control signaling that indicates an accuracy of the local model (14-1) as trained through that round of training, that indicates whether another round of training is needed or desired, and/or that indicates whether any further information (20-1) is needed or desired.
    Type: Grant
    Filed: December 6, 2019
    Date of Patent: July 30, 2024
    Assignee: Telefonaktiebolaget LM Ericsson (publ)
    Inventors: Konstantinos Vandikas, Selim Ickin
  • Publication number: 20240236845
    Abstract: Methods and systems for power supply unit (PSU) control. A method includes measuring one or more properties of the PSU to obtain property measurements, and initiating transmission of the property measurements to a machine learning (ML) agent hosting a trained ML model. The method further includes receiving the property measurements at the ML agent, and processing the received property measurements using the trained ML model to generate suggested actions to be taken by the PSU. The method further includes predicting the effect of each of the suggested actions on the measured PSU properties, and selecting a subset of the suggested actions predicted to have a significant impact on the measured PSU properties. The method further includes initiating transmission of the selected subset of suggested actions to the PSU, and performing, at the PSU, the selected subset of suggested actions.
    Type: Application
    Filed: March 2, 2021
    Publication date: July 11, 2024
    Inventors: Lackis ELEFTHERIADIS, Arpit SISODIA, Athanasios KARAPANTELAKIS, Konstantinos VANDIKAS, Marin ORLIC, Oleg GORBATOV, Sunil Kumar VUPPALA