2021 IEEE International Conference on Acoustics, Speech and Signal Processing
6-11 June 2021 • Toronto, Ontario, Canada
Extracting Knowledge from Information
MLSP-13: Federated Learning 2 |
| Session Type: Poster |
| Time: Wednesday, 9 June, 13:00 - 13:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Rainer Martin, Ruhr-Universität Bochum |
| MLSP-13.1: CROSS-SILO FEDERATED TRAINING IN THE CLOUD WITH DIVERSITY SCALING AND SEMI-SUPERVISED LEARNING |
| Kishore Nandury; Amazon |
| Anand Mohan; Amazon |
| Frederick Weber; Amazon |
| MLSP-13.2: GRADUAL FEDERATED LEARNING USING SIMULATED ANNEALING |
| Luong Trung Nguyen; Seoul National University |
| Byonghyo Shim; Seoul National University |
| MLSP-13.3: OPTIMAL IMPORTANCE SAMPLING FOR FEDERATED LEARNING |
| Elsa Rizk; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Stefan Vlaski; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| Ali H. Sayed; Ecole Polytechnique Fédérale de Lausanne (EPFL) |
| MLSP-13.4: MULTI-TIER FEDERATED LEARNING FOR VERTICALLY PARTITIONED DATA |
| Anirban Das; Rensselaer Polytechnic Institute |
| Stacy Patterson; Rensselaer Polytechnic Institute |
| MLSP-13.5: ENERGY MINIMIZATION FOR FEDERATED LEARNING WITH IRS-ASSISTED OVER-THE-AIR COMPUTATION |
| Yuntao Hu; Southeast University |
| Ming Chen; Southeast University |
| Mingzhe Chen; Princeton University |
| Zhaohui Yang; King's College London |
| Mohammad Shikh-Bahaei; King's College London |
| H. Vincent Poor; Princeton University |
| Shuguang Cui; the Chinese University of Hong Kong |
| MLSP-13.6: ADAPTIVE QUANTIZATION OF MODEL UPDATES FOR COMMUNICATION-EFFICIENT FEDERATED LEARNING |
| Divyansh Jhunjhunwala; Carnegie Mellon University |
| Advait Gadhikar; Carnegie Mellon University |
| Gauri Joshi; Carnegie Mellon University |
| Yonina C. Eldar; Weizmann Institute of Science |