Abstract: A distributed learning system and method comprises the steps of: obtaining an initial global weight broadcast and applying the initial global weight to a local model; performing a simulation test on a local model using test data obtained in advance according to a pre-designated task to be performed by the distributed learning device; when the local model to which the global weight is applied passes the simulation test according to a pre-designated test pass criterion, pruning in a pre-designated manner for a plurality of elements of the global weight; initializing values of unpruned residual elements in the global weight; locally training the local model to which the initialized weight is applied using learning data prepared in advance according to the task, and transmitting a local weight to the central server; and receiving the updated global weight for the next round according to the local weight in the central server.

Abstract: There is provided a current measurement sensor including: a rogowski coil having a winding coil disposed on an outer circumference part of a coaxial coil; a body case to which one end and the other end of the rogowski coil are coupled, so that the rogowski coil forms a loop; and a coupling member coupling the rogowski coil to the body case, wherein the coupling member includes: a coil coupling member having one side coupled to the rogowski coil and the other side coupled to the body case, and a case coupling member coupled to the body case and covering a coupling part between the coil coupling member and the body case.