We have 6 of 145 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
It is shown with a sampling based experiment that the solution with the best MLU fares the worst under strong traffic variations, and that it is worth to minimize not only the MLU but also the number of rerouted paths.
A systematic replication of randomness experiments on encrypted network traffic is presented, re-implementing them using the NIST Statistical Test Suite on encrypted traffic generated under controlled conditions and suggesting that assumptions about imperfect randomness in encrypted network traffic are unsubstantiated.
This work presents Ampel: a system to schedule ML training flows at the network cuts that leverages packet-spraying's ability to spread traffic evenly across all available paths to simplify the view of the topology into one only containing potential bottlenecks, and then bridges this new simplified model with past work...
The slowdown of Moore's law and the area limit of monolithic integration have made chiplet-based designs inevitable across many domains, including network ASICs. However, combining multiple network ASICs together poses a fundamental challenge: maintaining sufficient inter-ASIC bandwidth to match the performance of an i...
This work presents GhostBuster, a runtime system which monitors the execution of BGP routers and verifies their compliance with the protocol specification, and fully implemented GhostBuster is fully implemented and used to detect bugs in production routers.
Automating model growth shifts the hard problem from writing verification systems to systematically testing them; this work proposes a research agenda for trusting and harnessing automatically evolved verifiers.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
