We present CASSINI, a network-aware job scheduler for machine learning (...
This paper challenges the well-established paradigm for building any-to-...
The use of mutual information as a tool in private data sharing has rema...
We explore a novel approach for building DNN training clusters using
com...
Balancing the needs of data privacy and predictive utility is a central
...
Today, network devices share buffer across priority queues to avoid drop...
This paper presents a performance analysis of the design space of optica...
This paper studies the structure of several real-world traces (including...