Abstract: This article provides a comprehensive survey of aggregation strategies in federated learning (FL). This decentralized machine learning (ML) paradigm enables multiple clients to ...

Abstract: Computing-in-memory (CIM) architectures have demonstrated remarkable potential in addressing the memory wall. However, previous CIMs were often designed for multiply-accumulate (MAC) ...