International Business Machines Corporation

Aladin Djuhera

Alecio Pedro Delazari Binotto

Fernando Luiz Koch

Rob High

Swanand Ravindra Kadhe

Farhan Ahmed

A computer-implemented method (CIM), according to one embodiment, includes performing a detecting and monitoring adversarial jamming (MDJ) process for an edge environment that includes a first edge device and a central hub. In response to a determination that a jamming attack event is likely to occur, a pre-emptive edge user device protection process (PPP) is caused to be deployed. In response to a determination that a jamming attack event has occurred, a post-process jammed data (PJD) process is caused to be deployed at a recipient of a wireless transmission subject to the jamming attack event. The CIM further includes generating, based on results of deploying the PPP and/or the PJD process, a first set of new parameters for a model of a device that sent the wireless transmission, and causing the first set of new parameters to be distributed to the model of the device that sent the wireless transmission.

Dynamically applied processes for mitigating adversarial jamming attack events

A method, computer system, and a computer program product for executing workloads in a distributed system is provided. The present invention may include: determining a current resource utilization status in a distributed system; inputting, to a second AI model, the current resource utilization status and an in-use split configuration of a first AI model, the second AI model configured for predicting a split configuration for the first AI model; receiving an output from the second AI, the output indicating a current split configuration for the first AI model; splitting the first AI model using the current split configuration; deploying the split first AI model such that the input and output blocks may be executed on first computer systems of the set of first computer systems and such that the intermediate block may be executed on a second computer system of the at least one second computer system; executing the workload.

AI model based deployment of an AI model

The present disclosure relates to a method comprising receiving a request to execute a workload using an artificial intelligence model. A current resource utilization status in the distributed system may be determined. The current resource utilization status may be used to define a deployment configuration of the artificial intelligence model, wherein the deployment configuration is defined by: a number and structure of input blocks, a number and structure of output blocks and the intermediate block of the artificial intelligence model, a second computer system to execute the intermediate block, and one or more first computer systems to execute the input and output blocks. The artificial intelligence model may be deployed in accordance with the defined deployment configuration and the workload may be executed.

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Dachau, Germany

Aladin Djuhera