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IBM Research

Expo Talk Panel

Enterprise-Strength Federated Learning: New Algorithms, New Paradigms, and a Participant-Interactive Demonstration Session

Laura Wynter · Nathalie Baracaldo · Chaitanya Kumar · Parijat Dube · Mikhail Yurochkin · Theodoros Salonidis · Shiqiang Wang

Moderator s: Alice Zheng · Hsuan-Tien (Tien) Lin


Abstract:

Federated learning is a recent and rapidly expanding area of machine learning that allows parties to benefit from joint training of models whilst respecting the privacy of each party's data. IBM Research has a broad effort in federated learning comprising novel methods, models and paradigms and offers an enterprise-strength federated learning platform free to use for non-commercial purposes, the IBM Federated Learning Community Edition.
The session will give an overview through a series of 7 short talks on the most exciting new research results from IBM Research in federated learning. Questions shall be collected using the Chat window and addressed after the lightning talks as well as after the live-interactive demo.

Chat is not available.
Schedule