D-2: Adversary-Resilient Distributed Machine Learning (invited) |
| Session Type: Virtual |
| Time: Tuesday, November 02, 11:15 - 12:45 |
| Location: Room 3 |
| Virtual Session: Attend on Virtual Platform |
| Session Chairs: Lili Su, Northeastern University, USA and César A. Uribe, Rice University, USA |
| D-2.1: High-Dimensional Robust Mean Estimation via Outlier-Sparsity Minimization |
| Aditya Deshmukh; University of Illinois at Urbana-Champaign |
| Jing Liu; University of Illinois at Urbana-Champaign |
| Venugopal Veeravalli; University of Illinois at Urbana-Champaign |
| D-2.2: Resilient decentralized optimization in multi-agent networks with data injection attacks |
| Shuhua Yu; Carnegie Mellon University |
| Yuan Chen; Google |
| Soummya Kar; Carnegie Mellon University |
| D-2.3: Distributed randomized Kaczmarz for adversarial workers |
| Xia Li; University of California, Los Angeles |
| Longxiu Huang; University of California, Los Angeles |
| Deanna Needell; University of California, Los Angeles |
| D-2.4: Communication-Efficient and Fault-Tolerant Social Learning |
| Mohammad Taha Toghani; Rice University |
| Cesar A Uribe; Rice University |