We propose Dirigo, a distributed stream processing service built atop vi...
Many tools empower analysts and data scientists to consume analysis resu...
Machine Learning graphs (or models) can be challenging or impossible to ...
Resource provisioning in multi-tenant stream processing systems faces th...
The scalability of Distributed Stochastic Gradient Descent (SGD) is toda...
Smart environments (homes, factories, hospitals, buildings) contain an
i...
Recent years have witnessed the growth of large-scale distributed machin...
We consider distributed on-device learning with limited communication an...
Federated learning on edge devices poses new challenges arising from wor...
Recently, new defense techniques have been developed to tolerate Byzanti...
Federated learning enables training on a massive number of edge devices....
We propose Zeno, a new robust aggregation rule, for distributed synchron...
We propose a novel robust aggregation rule for distributed synchronous
S...
We propose three new robust aggregation rules for distributed synchronou...
We present Henge, a system to support intent-based multi-tenancy in mode...
Production distributed systems are challenging to formally verify, in
pa...