Abstract: A method by a computing device for dynamically configuring a network comprising a plurality of computing devices configured to perform training of a machine learning model is provided. The method includes dynamically identifying a change in a state of a leader computing device, wherein the leader computing device includes one of a server computing device and a client computing device and wherein the plurality of computing devices include server computing devices and/or client computing devices. The method further includes determining whether the change in the state triggers a new leader computing device to be selected. The method further includes initiating a new leader election among the plurality of computing devices responsive to determining the change in the state triggers the new leader computing device to be selected. The method further includes receiving an identification of the new leader computing device based on the initiating of the new leader election.

Abstract: A method of performing federated feature selection for a machine learning model in a federated learning environment includes obtaining, at a first resolution, a global set of selector neural network weights. At a second resolution, the method selects, for a plurality of first data subsets, a first set of features from a feature space by iteratively applying a first selector neural network that is initialized with the global set of selector neural network weights to the first data subset to obtain a first set of selector neural network weights. The first data subsets are divided into a plurality of second data subsets, and, at a third resolution, a second set of features is selected from the feature space.

Abstract: A method of detecting a defect in a connecting member of a radio unit in a radio site includes applying an artificial radio traffic load to a first radio unit and at least a second radio unit, such that the radio traffic load experienced by the first and the second radio unit is at a same level, measuring power supplied to the first radio unit via a first connecting member and power supplied to the second radio unit via a second connecting member at an end of each connecting member terminating at a device configured to supply power to the radio units, and determining from the measured power and an expected nominal power loss of the first and the second connecting member if there is power loss in at least one of the first and the second connecting member indicating a defect.

Abstract: The invention features vaccine adjuvants comprising prokaryotic mRNA, and methods of vaccination using the adjuvants.

Abstract: The invention features vaccine adjuvants comprising prokaryotic mRNA, and methods of vaccination using the adjuvants.

Abstract: The disclosure features vaccine adjuvants comprising prokaryotic mRNA, and methods of vaccination using the adjuvants. More specifically, the disclosure provides a vaccine composition comprising a nonviable immunogen (e.g., heat-killed bacterium), a tumor antigen, or an immunogenic peptide of microbial or mammalian origin, and an adjuvant, wherein adjuvant comprises prokaryotic mRNA (e.g., bacterial mRNA), as well as the methods of using the vaccine compositions. Further disclosed are the structural features of the prokaryotic mRNA used as the adjuvants.

Abstract: The disclosure features vaccine adjuvants comprising prokaryotic mRNA, and methods of vaccination using the adjuvants. More specifically, the disclosure provides a vaccine composition comprising a nonviable immunogen (e.g., heat-killed bacterium), a tumor antigen, or an immunogenic peptide of microbial or mammalian origin, and an adjuvant, wherein adjuvant comprises prokaryotic mRNA (e.g., bacterial mRNA), as well as the methods of using the vaccine compositions. Further disclosed are the structural features of the prokaryotic mRNA used as the adjuvants.