Systems

OpenLoRa: Validating LoRa Implementations through an Extensible and Open-sourced Framework NSDI 2023 Private Federated Frequency Estimation: Adapting to the Hardness of the Instance NeurIPS 2023 Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology ICCV 2023 Remote Procedure Call as a Managed System Service NSDI 2023 Robust Load Balancing with Machine Learned Advice JMLR 2023 RON: One-Way Circular Shortest Routing to Achieve Efficient and Bounded-waiting Spinlocks OSDI 2023 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract) IJCAI 2023 Scalable Distributed Massive MIMO Baseband Processing NSDI 2023 Scalable Tail Latency Estimation for Data Center Networks NSDI 2023 Searching for Better Database Queries in the Outputs of Semantic Parsers EACL 2023 SECRECY: Secure collaborative analytics in untrusted clouds NSDI 2023 SelfTune: Tuning Cluster Managers NSDI 2023 Sequence Parallelism: Long Sequence Training from System Perspective ACL 2023 SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network AAAI 2023 Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning NSDI 2023 Simulating Network Paths with Recurrent Buffering Units AAAI 2023 Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays NSDI 2023 SPEEDEX: A Scalable, Parallelizable, and Economically Efficient Decentralized EXchange NSDI 2023 SQLFlow: An Extensible Toolkit Integrating DB and AI JMLR 2023 SRNIC: A Scalable Architecture for RDMA NICs NSDI 2023 TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches NSDI 2023 Tambur: Efficient loss recovery for videoconferencing via streaming codes NSDI 2023 Test Coverage for Network Configurations NSDI 2023 The Benefit of Hindsight: Tracing Edge-Cases in Distributed Systems NSDI 2023 trajdata: A Unified Interface to Multiple Human Trajectory Datasets NeurIPS 2023