44 citations · 50 across the 3 of their papers we have counts for
3 papers
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
Xiaofan Yu, Ludmila Cherkasova, Harsh Vardhan +5
Federated Learning (FL) has gained increasing interest in recent years as a distributed on-device learning paradigm. However, multiple challenges remain to be addressed for deployi…
Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics
Jeya Vikranth Jeyakumar, Ludmila Cherkasova, Saina Lajevardi +4
The IoT vision of a trillion connected devices over the next decade requires reliable end-to-end connectivity and automated device management platforms. While we have seen successf…
Sparkle: Optimizing Spark for Large Memory Machines and Analytics
Mijung Kim, Jun Li, Haris Volos +7
Spark is an in-memory analytics platform that targets commodity server environments today. It relies on the Hadoop Distributed File System (HDFS) to persist intermediate checkpoint…