Future work for Kafka-ML includes the support for federated incremental training of models and the capability for addressing the challenges mentioned in Section 6. To address these problems, the following solutions have been envisaged: (1) the use of Elastic Weight Consolidation (EWC) to assign di...
[34] proposed a privacy-enhanced multiregional task assignment strategy (PMTA) for Healthcare 4.0 using deep differential privacy, deep Q network, federated learning, and blockchain to effectively protect the privacy of tasks and patients and obtain better system performance. Tao and Song [35] ...
With the aim of enhancing experience quality and minimizing service migration cost, [20] employs a Markov decision model to determine a service migration policy based on geographical proximity and the workload of federated data centers (i.e., under a federated cloud environment). Based on a Mark...