PODC 2022 Workshop: Principles of Distributed Learning
The objective of the workshop is to gather people working in the important field of distributed machine learning to discuss ideas that have been published, or will be published. There will be no formal proceedings for the workshop. Each presenter, listed below, will be allotted a time of 20 minutes to present their work. The workshop will be held on July 25, 2022 in collaboration with PODC’22 at Salerno, Italy.
The program can be found here.
Presenter | Institution | Tentative Title |
---|---|---|
Youssef Allouah | EPFL, Switzerland | ROBUST SPARSE VOTING |
Hagit Attiya | Technion, Israel | ASYNCHRONOUS DISTRIBUTED MACHINE LEARNING |
Ce Zhang | ETH Zurich, Switzerland | SCALING UP DISTRIBUTED LEARNING WITH SYSTEM RELAXATIONS: BAGUA AND BEYOND |
Nirupam Gupta | EPFL, Switzerland | THE CRUCIAL ROLE OF MOMENTUM IN BYZANTINE LEARNING |
Suhas Diggavi | UCLA, USA | ON PRIVACY AND SECURITY IN FEDERATED LEARNING |
Konstantin Burlachenko | KAUST, Saudi Arabia | MARINA: FASTER NON-CONVEX DISTRIBUTED LEARNING WITH COMPRESSION |
Sadegh Farhadkhani | EPFL, Switzerland | COLLABORATIVE LEARNING IS AN AGREEMENT PROBLEM |
Rafael Pinot | EPFL, Switzerland | CAN BYZANTINE LEARNING BE PRIVATE? |
Dan Alistarh | IST, Austria | ELASTIC CONSISTENCY: A GENERAL CONSISTENCY MODEL FOR DISTRIBUTED OPTIMIZATION |
Waheed Bajwa | Rutgers University, USA | SCALABLE ALGORITHMS FOR DISTRIBUTED PRINCIPAL COMPONENT ANALYSIS |
Anne-Marrie Kermarrec | EPFL, Switzerland | FRUGAL DISTRIBUTED LEARNING |
Nir Shavit | MIT, USA | TISSUE VS SILICON: MUSINGS ON THE FUTURE OF DEEP LEARNING HARDWARE AND SOFTWARE |
Indranil Gupta | UIUC, USA | HAMMER OR GAVEL. OR HOW I LEARNT TO STOP LEARNING AND LOVE THE OLD-FASHIONED ALGORITHM |
Lili Su | Northeastern University, USA | A NON-PARAMETRIC VIEW OF FEDAVG AND FEDPROX: BEYOND STATIONARY POINTS |
Arnaud Grivet Sébert | CEA, France | MACHINE LEARNING WITOUT JEOPARDIZING THE DATA |
Marco Canini | KAUST, Saudi Arabia | ACCELERATED DEEP LEARNING VIA EFFICIENT, COMPRESSED AND MANAGED COMMUNICATION |