Moreover, training such models using private data is prone to serious privacy risks resulting from inadvertent disclosure of sensitive information. Split Learning (SL) has emerged as a promising ...

and relevant problems of IL and Few-shot Learning (FSL). Besides, we offer an overview of benchmark datasets and evaluation metrics. Furthermore, we introduce the Few-shot Class-incremental ...

This has compelled the development of advanced protocols, interconnects, and fiber optics to grease the network skids and compression algorithms to reduce the size of the data, enabling more of it to ...

Against this backdrop, employee learning and development is more critical than ever — yet a recent report from LinkedIn and a series of interviews with 25 CLOs suggest that learning ...