WE1-3: Decentralized Optimization |
| Session Type: Virtual |
| Time: Wednesday, November 4, 10:00 - 11:20 |
| Virtual Session: View on Virtual Platform |
| Location: Room 3 |
| Session Chair: Anit Kumar Sahu, Bosch Center for AI |
| WE1-3-1: FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data |
| Xinwei Zhang; University of Minnesota |
| Mingyi Hong; University of Minnesota |
| Sairaj Dhople; University of Minnesota |
| Wotao Yin; UCLA |
| Yang Liu; Webank |
| WE1-3-2: Push-sum, geometric average of Gaussians, and mixing tanks |
| Cesar Uribe; MIT |
| WE1-3-3: Exploring the Error-Runtime Trade-off in Decentralized Optimization |
| Jianyu Wang; Carnegie Mellon University |
| Anit Kumar Sahu; Amazon Alexa AI |
| Gauri Joshi; Carnegie Mellon University |
| Soummya Kar; Carnegie Mellon University |
| WE1-3-4: SECOND-ORDER GUARANTEES IN FEDERATED LEARNING |
| Stefan Vlaski; EPFL |
| Elsa Rizk; EPFL |
| Ali Sayed; EPFL |