2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

MLSP-13: Federated Learning 2

Session Type: Poster
Time: Wednesday, 9 June, 13:00 - 13:45
Location: Gather.Town
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