Marco Canini

Rein

2017

We tackle the problem of reducing tail latencies in distributed key-value stores, such as the popular Cassandra database. We focus on workloads of multiget requests, which batch together access to several data elements and parallelize …

A Comprehensive Empirical Study of Heterogeneity in Federated Learning

2023 · IEEE Internet of Things Journal

Federated learning (FL) is becoming a popular paradigm for collaborative learning over distributed, private data sets owned by nontrusting entities. FL has seen successful deployment in production environments, and it has been adopted in services, …