Three papers accepted for presentation at VLDB 2022

The folowing three papers have been accepted for presentation at external page VLDB 2022: 

1. BAGUA: Scaling up Distributed Learning with System Relaxations by Shaoduo Gan (ETH Zurich), Xiangru Lian (University of Rochester), Rui Wang (Kuaishou Technology), Jianbin Chang (Kuaishou Technology), Chengjun Liu (Kuaishou Technology), Hongmei Shi (Kuaishou Technology), Shengzhuo Zhang (Kuaishou Technology), Xianghong Li (Kuaishou Technology), Tengxu Sun (Kuaishou Technology), Jiawei Jiang (ETH Zurich), Binhang Yuan (ETH Zurich), Sen Yang (Kwai Inc.), Ji Liu (Kwai Inc.), Ce Zhang (ETH)

2. Federated Matrix Factorization with Privacy Guarantee by Zitao Li (Purdue University ), Bolin Ding ( "Data Analytics and Intelligence Lab, Alibaba Group"), Ce Zhang (ETH), Ninghui Li (Purdue University), Jingren Zhou (Alibaba Group)

3. WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model by Gyeong-In Yu (Seoul National University), Saeed Amizadeh (Microsoft), Sehoon Kim (University of California, Berkeley), Artidoro Pagnoni (Carnegie Mellon University), Ce Zhang (ETH), Byung-Gon Chun (Seoul National University), Markus Weimer (Microsoft), Matteo Interlandi (Microsoft)