MO1-3: Decentralized Learning and Optimization |
| Session Type: Virtual |
| Time: Monday, November 2, 10:00 - 11:20 |
| Virtual Session: View on Virtual Platform |
| Location: Room 3 |
| Session Chair: Andrea Simonetto, IBM |
| MO1-3-1: Learning-based Adaptive Quantization for Communication-efficient Distributed Optimization with ADMM |
| Truong X. Nghiem; Northern Arizona University |
| Aldo Duarte; Louisiana State University |
| Shuangqing Wei; Louisiana State University |
| MO1-3-2: Privacy-Preserving Distributed Learning with NonSmooth Objective Functions |
| François Gauthier; Norwegian University of Science and Technology |
| Cristiano Gratton; Norwegian University of Science and Technology |
| Naveen K. D. Venkategowda; Norwegian University of Science and Technology |
| Stefan Werner; Norwegian University of Science and Technology |
| MO1-3-3: Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization |
| Nicola Bastianello; University of Padova |
| Andrea Simonetto; IBM Research Ireland |
| Ruggero Carli; University of Padova |
| MO1-3-4: Conservative Multi-agent Online Kernel Learning in Heterogeneous Networks |
| Hrusikesha Pradhan; Indian Institute of Technology Kanpur |
| Amrit Singh Bedi; US Army Research Laboratory, Adelphi |
| Alec Koppel; US Army Research Laboratory, Adelphi |
| Ketan Rajawat; Indian Institute of Technology Kanpur |