3 citations · 3 across the 3 of their papers we have counts for
7 papers
NetArena: Dynamic Benchmarks for AI Agents in Network Automation
Yajie Zhou, Jiajun Ruan, Eric S. Wang +4
As AI agents expand into high-stakes domains like network system operations, evaluating their real-world reliability becomes increasingly critical. However, existing benchmarks ris…
Glinthawk: A Two-Tiered Architecture for Offline LLM Inference
Pouya Hamadanian, Sadjad Fouladi
We introduce Glinthawk, an architecture for offline Large Language Model (LLM) inference. By leveraging a two-tiered structure, Glinthawk optimizes the utilization of the high-end…
Vidaptive: Efficient and Responsive Rate Control for Real-Time Video on Variable Networks
Pantea Karimi, Sadjad Fouladi, Vibhaalakshmi Sivaraman +1
Real-time video streaming relies on rate control mechanisms to adapt video bitrate to network capacity while maintaining high utilization and low delay. However, the current video…
Gemino: Practical and Robust Neural Compression for Video Conferencing
Vibhaalakshmi Sivaraman, Pantea Karimi, Vedantha Venkatapathy +5
Video conferencing systems suffer from poor user experience when network conditions deteriorate because current video codecs simply cannot operate at extremely low bitrates. Recent…
Parallelization Techniques for Verifying Neural Networks
Haoze Wu, Alex Ozdemir, Aleksandar Zeljić +7
Inspired by recent successes with parallel optimization techniques for solving Boolean satisfiability, we investigate a set of strategies and heuristics that aim to leverage parall…
Learning in situ: a randomized experiment in video streaming
Francis Y. Yan, Hudson Ayers, Chenzhi Zhu +5
We describe the results of a randomized controlled trial of video-streaming algorithms for bitrate selection and network prediction. Over the last eight months, we have streamed 14…