… In this paper, we present and evaluate a new strategy for rapid Re-ID retraining to increase
flexibility for deployment in new environments. In addition, we pay special attention to make …

… In the context of worker flexibility, we use LFCM to understand … Three managers used
period retraining policies with the … These surveys list strategies used by these firms to reduce …

… level of autonomy and flexibility in maintaining critical infrastructure … There are a number of
strategies to active learning, to … lower the burden of retraining and deploying new AI models in …

… Inference pipelines also allow for flexibility in their resource … Retraining configurations: Our
retraining configurations … in real-world deployments, and Ekya’s decision to retrain only on the …

… This might mean the deployment of multi-skilled craftsmen moving between mechanical, …
retraining). Terms and conditions of employment are designed to promote functional flexibility. …

… retraining suggestions using different adaptation strategies, and … are propagated to adaptation
strategies that, depending on … deployment procedure is difficult such as edge deployment. …

… In order to support the model retraining, a mechanism is … Results of the field test prove
that this system is flexible, … model and the scheduling strategy when different scheduling …

… are not flexible enough: the periodic retraining may lack … down to a specific retraining and
deployment approach. We … By incorporating the data-drift-based CT strategy, our MLOps …

… They will likely cause real work disruption, user retraining, … of post-deployment system
changes have suggested flexible and … The most salient feature in this new strategy is the Gamma …

… retraining or even completely replaced at runtime. In this work, we introduce Fluidity, a
framework that enables flexible application deployment … different adaptation strategies that have …