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    • 1. 发明申请
    • ENHANCED SERVICE CONTINUITY UTILIZING MUSIM
    • WO2022078902A1
    • 2022-04-21
    • PCT/EP2021/077880
    • 2021-10-08
    • NOKIA TECHNOLOGIES OY
    • SPAPIS, PanagiotisKESHAVAMURTHY, PrajwalSANCHEZ, Laura LuqueSELVAGANAPATHY, SrinivasanSABOURI-SICHANI, FaranazALI, Amaanat
    • H04W36/14H04W36/36H04W88/06
    • Apparatus and method to perform receiving from a network node of a first mobile network of more than one mobile network of a communication network, by a user equipment of the first mobile network, an indication (610) of an approaching coverage limit for a coverage area associated with a link between the first public land mobile network and the user equipment wherein the user equipment includes a multi subscriber identity module, and wherein a first subscriber identity module of the multi subscriber module is connected to a network node associated with the first mobile network; and based on the receiving, performing pro-active preparation for causing (620) a second subscriber identity module of the multi subscriber identity module of the user equipment to enable pro-active preparation of switching to a second mobile network of the more than one mobile network in response to an upcoming failure of the link between the user equipment and the first mobile network based on the approaching coverage limit of the coverage area. Further, there is determining, by a network node of a first mobile network of more than one mobile network of a communication network, an approaching coverage limit for a coverage area associated with a link between the first mobile network and a user equipment, wherein the user equipment includes a multi subscriber identity module and wherein a first subscriber identity module of the multi subscriber module is connected to a network node associated with the first public land mobile network; and based on determining, sending towards the user equipment information including an indication to perform pro-active preparation for causing a second subscriber identity module of the multi subscriber identity module of the user equipment to enable pro-active preparation for switching by the second subscriber identity module to a second mobile network of the more than one mobile network in response to an upcoming failure of the link between the user equipment and the first mobile network based on the approaching coverage limit of the coverage area.
    • 6. 发明申请
    • ENHANCEMENT OF TRAINING NODE SELECTION FOR TRUSTWORTHY FEDERATED LEARNING
    • WO2023046269A1
    • 2023-03-30
    • PCT/EP2021/076004
    • 2021-09-22
    • NOKIA TECHNOLOGIES OY
    • SUBRAMANYA, TejasKESHAVAMURTHY, Prajwal
    • G06N20/20G06F9/50
    • There are provided measures for enhancement of training node selection for trustworthy federated learning. Such measures exemplarily comprise, at a first network entity coordinating artificial intelligence or machine learning contributor selection in a network, receiving, respectively from a first and a second of a plurality of second network entities managing artificial intelligence or machine learning trustworthiness in artificial intelligence or machine learning pipelines in said network, a first/second artificial intelligence or machine learning contributor selection conflict resolution request including a first/second federated learning distributed node candidate list including at least one first/second federated learning distributed node in said network, wherein each of said at least one first/second federated learning distributed node has trustworthiness capabilities satisfying first/second artificial intelligence or machine learning trustworthiness requirement criteria and is associated with a respective rank in said first/second federated learning distributed node candidate list, transmitting, respectively towards said first and said second of said plurality of second network entities, a first/second artificial intelligence or machine learning contributor selection conflict resolution response including an updated first/second federated learning distributed node candidate list removing a conflict between said first federated learning distributed node candidate list and said second federated learning distributed node candidate list.