Serverless Computing

Serverless computing offers a paradigm shift in cloud computing, aiming to automate infrastructure management and provide on-demand scalability for applications, particularly those involving machine learning and data analytics. Current research focuses on optimizing performance and cost-effectiveness through techniques like asynchronous training strategies, knowledge distillation for heterogeneous client models, and the application of reinforcement learning for resource allocation and cold-start mitigation. This approach holds significant promise for improving the efficiency and accessibility of various applications, from federated learning and large-scale inference to data-intensive tasks, while addressing challenges related to security, privacy, and resource utilization.