DistributedML 2020

The workshop will take place on the 1st of December 2020 and co-ordinated by Stefanos Laskaridis.

GMT Time Description
13.30 - 13.40 Opening
(presentation by Mario Almeida)
13.45 - 14.30 Keynote #1: Personalised Federated Learning (video)
Ameet Talwalkar (CMU and DeterminedAI)
14.30 - 15.00 Session #1: Federated Learning (co-ordinated by Paul Patras)
- FEWER: Federated Weight Recovery (video)
Yongjin Shin (KAIST Industrial & systems Engineering); Gihun Lee (KAIST Graduate School of AI); Seungjae Shin (KAIST Industrial & systems Engineering); Se-young Yun (KAIST Graduate School of AI); Il-chul Moon (KAIST Industrial & systems Engineering)
- FLaaS: Federated Learning as a Service (video)
Nicolas Kourtellis, Kleomenis Katevas, Diego Perino (Telefonica Research)
15.00 - 15.15 Break
15.15 - 16.00 Keynote #2: Wearables, IoT and You - The Compelling World of Augmented Perception
Fahim Kawsar (Nokia Bell Labs and TU Delft)
16.00 - 16.30 Session #2: Network-centric optimisations (co-ordinated by Mario Almeida)
- Accelerating Intra-party Communication in Vertical Federated Learning with RDMA (video)
Duowen Liu (Hong Kong University of Science and Technology, Peng Cheng Lab)
- Huffman Coding Based Encoding Techniques for Fast Distributed Deep Learning (video)
Rishikesh R. Gajjala, Shashwat Banchhor (Indian Institute of Technology, Delhi); Ahmed M. Abdelmoniem (KAUST); Aritra Dutta (King Abdullah University of Science and Technology (KAUST)); Marco Canini (KAUST); Panos Kalnis (King Abdullah University of Science and Technology)
16.30 - 16.45 Break
16.45 - 17:30 Keynote #3 Lessons learned from industrial research at the intersection of ML and Networks (video)
Ilias Leontiadis (Samsung AI Center Cambridge)
17.30 - 18.00 Session #3: Applied Distributed ML (co-ordinated by Rui Li)
- Maggy: Scalable Asynchronous Parallel Hyperparameter Search (video)
Moritz Meister (Logical Clocks AB); Sina Sheikholeslami, Amir H. Payberah, Vladimir Vlassov, Jim Dowling (KTH Royal Institute of Technology)
- Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions (video)
Royson Lee, Stylianos I. Venieris (Samsung AI Center Cambridge); Nicholas D. Lane (University of Cambridge and Samsung AI)
18.00 - 18.15 Break
18.15 - 19.30 Panel session (co-ordinated by Stefanos Laskaridis)
Amanda Prorok (University of Cambridge), Dimitris Papailiopoulos (University of Wisconsin-Madison), Ameet Talwalkar (CMU and DeterminedAI), Fahim Kawsar (Nokia Bell Labs and TU Delft), Ilias Leontiadis (Samsung AI Center Cambridge)