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hello Iamp;#39;m Andre and Iamp;#39;m ex to tell you more about our paper called Feit forward lat doation this is a join work with Dash shell and team our goal is to d a model on useramp;#39;s device to optimize performance on the local data distribution more specifically deploy a pre-trained model to many AG devices and then use devices on data to quickly adapt the model for the current test image there are several challenges and data associated with this setup first we want to keep data local for privacy which means we have to rely on local processing without using uh the cloud second we like to have purely Fe for a solution because B propagation is slow and may not be supported on mobile devices third the relate domains and data because uh users local store data is of mixed relevance to each test instance fourth there are no labels for user those examples more specifically there are no class or domain labels as any sort of annotation will be inconvenient however we assume the sam
