| 2023 | Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs. | Jiaxin Lin, Tao Ji, Xiangpeng Hao, Hokeun Cha, Yanfang Le, Xiangyao Yu, Aditya Akella |
| 2023 | (Private) Kernelized Bandits with Distributed Biased Feedback. | Fengjiao Li, Xingyu Zhou, Bo Ji |
| 2023 | SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving. | Adithya Kumar, Anand Sivasubramaniam, Timothy Zhu |
| 2023 | Each at its Own Pace: Third-Party Dependency and Centralization Around the World. | Rashna Kumar, Sana Asif, Elise Lee, Fabin E. Bustamante |
| 2023 | Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models. | Prashanthi S. K, Sai Anuroop Kesanapalli, Yogesh Simmhan |
| 2023 | Switching in the Rain: Predictive Wireless x-haul Network Reconfiguration. | Igor Kadota, Dror Jacoby, Hagit Messer, Gil Zussman, Jonatan Ostrometzky |
| 2023 | SLITS: Sparsity-Lightened Intelligent Thread Scheduling. | Wangkai Jin, Xiangjun Peng |
| 2023 | Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes. | Dongyan Lucy Huo, Yudong Chen, Qiaomin Xie |
| 2023 | Fiat Lux: Illuminating IPv6 Apportionment with Different Datasets. | Amanda Hsu, Frank Li, Paul Pearce |
| 2023 | On the Stochastic and Asymptotic Improvement of First-Come First-Served and Nudge Scheduling. | Benny Van Houdt |
| 2023 | Optimal Scheduling in the Multiserver-job Model under Heavy Traffic. | Isaac Grosof, Ziv Scully, Mor Harchol-Balter, Alan Scheller-Wolf |
| 2023 | Go-to-Controller is Better: Efficient and Optimal LPM Caching with Splicing. | Itamar Gozlan, Chen Avin, Gil Einziger, Gabriel Scalosub |
| 2023 | Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection. | Alexander Goldberg, Giulia Fanti, Nihar B. Shah |
| 2023 | Architectural Support for Efficient Data Movement in Fully Disaggregated Systems. | Christina Giannoula, Kailong Huang, Jonathan Tang, Nectarios Koziris, Georgios I. Goumas, Zeshan Chishti, Nandita Vijaykumar |
| 2023 | Joint Learning and Control in Stochastic Queueing Networks with Unknown Utilities. | Xinzhe Fu, Eytan H. Modiano |
| 2023 | Streaming Algorithms for Constrained Submodular Maximization. | Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Zhiyu Li |
| 2023 | Network Monitoring on Multi-Pipe Switches. | Marco Chiesa, Fbio L. Verdi |
| 2023 | Gacha Game Analysis and Design. | Canhui Chen, Zhixuan Fang |
| 2023 | Online Fair Allocation of Perishable Resources. | Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair |
| 2023 | Online Resource Allocation under Horizon Uncertainty. | Santiago R. Balseiro, Christian Kroer, Rachitesh Kumar |
| 2023 | PEACH: Proactive and Environment Aware Channel State Information Prediction with Depth Images. | Serkut Ayvasik, Fidan Mehmeti, Edwin Babaians, Wolfgang Kellerer |
| 2023 | Bias and Refinement of Multiscale Mean Field Models. | Sebastian Allmeier, Nicolas Gast |
| 2023 | Mars: Near-Optimal Throughput with Shallow Buffers in Reconfigurable Datacenter Networks. | Vamsi Addanki, Chen Avin, Stefan Schmid |
| 2023 | Malcolm: Multi-agent Learning for Cooperative Load Management at Rack Scale. | Ali Hossein Abbasi Abyaneh, Maizi Liao, Seyed Majid Zahedi |
| 2023 | Online Adversarial Stabilization of Unknown Networked Systems. | Jing Yu, Dimitar Ho, Adam Wierman |