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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

Sun Jul 18 05:00 PM -- 05:59 PM (PDT) @ None

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.

Author Information

Laura Wynter (IBM Research)
Nathalie Baracaldo (IBM Research)
Chaitanya Kumar
Parijat Dube
Mikhail Yurochkin (IBM Research AI)
Theodoros Salonidis
Shiqiang Wang (IBM Research)

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