Federated Learning One World Seminar

optimization and control

Audience:	Researchers in the topic
Seminar series time:	Wednesday 13:00-14:00
Organizers:	Peter Richtárik, Virgina Smith, Aurélien Bellet, Dan Alistarh
Curator:	Ahmed Khaled*
	*contact for this listing

Description: Research seminar on federated learning and related fields

Please register for the seminar on the website here (https://sites.google.com/view/one-world-seminar-series-flow/register#h.eoftjj4xztpb). Prior to the beginning of the seminar, a Zoom link with a password will be sent to the e-mail addresses of the people who have registered to be included in the mailing list.

Upcoming talks

Past talks

Your time			Speaker	Title
Wed	Aug 12	13:00	Peter Kairouz	Federated analytics
Wed	Aug 05	13:00	Konstantin Mishchenko	Local decentralized gradient descent with fast convergence
Wed	Jul 29	13:00	Krishna Pillutla	Robust Aggregation for Federated Learning
Wed	Jul 22	13:00	Nati Srebro	Heterogeneity and pluralism in distributed learning
Wed	Jul 15	13:00	Sashank Reddi	Adaptive federated optimization
Wed	Jul 08	13:00	Jakub Konečný	On the outsized importance of learning rates in local update methods
Wed	Jul 01	13:00	Alireza Fallah	TBA
Wed	Jun 24	13:00	Hadrien Hendrikx	Statistical preconditioning for federated learning
Wed	Jun 17	13:00	Filip Hanzely	Federated learning of a mixture of global and local models: Local SGD and optimal algorithms
Wed	Jun 10	13:00	Sai Praneeth Karimireddy	Stochastic controlled averaging for federated learning
Wed	May 27	13:00	Dimitris Papailiopoulos	Robustness in federated learning may be impossible without an all-knowing central authority
Wed	May 20	13:00	Blake Woodworth	Is local SGD better than minibatch SGD?
Wed	May 13	13:00	Ahmed Khaled	On the Convergence of Local SGD on Identical and Heterogeneous Data

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