IN-PERSON PROGRAM DETAILS

APRIL 5, 2023, WEDNESDAY (CONTINUED)

Start End Location Event

RS10, 5: In-Situ Cross-Database Query Processing

Haralampos Gavriilidis (Technische Universität Berlin)*; Kaustubh

Beedkar (TU Berlin); Jorge Arnulfo Quiane Ruiz (IT University of Copenhagen); Volker Markl (Technische Universität Berlin)

16:00 18:00

Platinum 4

RS10, 6: LCL: A Lock Chain Length-based Distributed Algorithm for Deadlock Detection and Resolution

Zhenkun YANG (OceanBase); Chen Qian (OceanBase); Xuwang Teng (oceanbase); Fanyu Kong (Oceanbase); Fusheng Han (OceanBase); Quanqing Xu (OceanBase)*

RESEARCH SESSION 11: DATA MINING AND KNOWLEDGE DISCOVERY II

RS11, 1: IndiBits: Incremental Discovery of Relaxed Functional Dependencies using Bitwise Similarity (Best Runner-up Award)

Bernardo Breve (University of Salerno); Loredana Caruccio (University of Salerno); Stefano Cirillo (University of Salerno)*; Vincenzo Deufemia (University of Salerno); Giuseppe Polese (University of Salerno)

RS11, 2: Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics

Rui Liu (University of Chicago)*; Aaron J Elmore (University of Chicago); Michael Franklin (University of Chicago); Sanjay Krishnan (UChicago)

RS11, 3: SK-Gradient: Efficient Communication for Distributed Machine Learning with Data Sketch

16:00 18:00

Platinum 3

Jie Gui (Peking University)*; Yuchen Song (Peking University); Zezhou Wang (Peking University); Chenhong He (Peking University); Qun Huang (Peking University)

RS11, 4: Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise

Cedric Renggli (UZH)*; Luka Rimanic (ETH Zurich); Luka Kolar (ETH Zurich); Wentao Wu (Microsoft Research); Ce Zhang (ETH)

RS11, 5: Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs

Zishan Gu (Columbia University); Ke Zhang (The University of Hong Kong); Guangji Bai (Emory University); Zhao Liang (Emory University); Liang Chen (Sun Yat-sen University); Carl Yang (Emory University)*

RS11, 6: Data Ambiguity Profiling for the Generation of Training Examples

Enzo Veltri (Università della Basilicata)*; Gilbert Badaro (EURECOM); Mohammed Saeed (Eurecom); Paolo Papotti (Eurecom)