The first workshop on Principles Of Distributed Learning will be help on July 25 in conjunction with PODC 2025 (https://www.podc.org) in beautiful Salerno 

The workshop will be informal and will include the following talks: 
  • Hagit Attiya (Technion), Asynchronous distributed machine learning
  • Ce Zhang (ETH Zurich), Scaling up distributed learning with system relaxations: bagua and beyond
  • Alonso Gustavo (ETH Zurich), The role of hardware in distributed learning and its impact on algorithms
  • Nitin Vaidya (Georgetown University), Some open problems in fault-tolerant distributed optimization and learning
  • Nirupam Gupta (EPFL), The crucial role of momentum in byzantine learning
  • Suhas Diggavi (UCLA),  On privacy and security in federated learning
  • Rafael Pinot (EPFL), Can Byzantine learning be private?
  • Dan Alistarh (IST),  Elastic consistency: a general consistency model for distributed optimization
  • Ji Liu (Stony Brook University), Distributed multi-armed bandits
  • Waheed Bajwa (Rutgers University),  Fast and exact distributed principal component analysis
  • Anne-marie Kermarrec (EPFL), Frugal distributed learning
  • Nir Shavit (MIT), Tissue vs silicon: musings on the future of deep learning hardware and software
  • Indranil Gupta (UIUC),  Hammer or gavel. or how i learnt to stop learning and love the old-fashioned algorithm
If you are interested in participating, send a message to [log in to unmask] and [log in to unmask] 

R

Unsubscribe:

[log in to unmask]

If you don't already have a password for the LISTSERV.ACM.ORG server, we recommend that you create one now. A LISTSERV password is linked to your email address and can be used to access the web interface and all the lists to which you are subscribed on the LISTSERV.ACM.ORG server.

To create a password, visit:

https://LISTSERV.ACM.ORG/SCRIPTS/WA-ACMLPX.CGI?GETPW1

Once you have created a password, you can log in and view or change your subscription settings at:

https://LISTSERV.ACM.ORG/SCRIPTS/WA-ACMLPX.CGI?SUBED1=PODC