NEWS
Feynman Prize for Prof. Dr. Klaus-Robert Müller
The Foresight Institute has awarded Prof. Dr. Klaus-Robert Müller, BIFOLD Co-director and Chair of the Machine Learning group at TU Berlin, with the 2024 Foresight Feynman Prize in Nanotechnology in the category of Theory.
Tackling Data Heterogeneity in Federated Learning
A persistent challenge in Federated Learning (FL) lies in handling statistical heterogeneity—namely, if the clients’ distributions are different from each other. Shinichi Nakajima, BIFOLD research Grouplead and his team propose FLOCO (Federated Learning over Connected Modes), to tackle those issues.
EVENTS
BLISS Speaker Series #14: Learning Physical Laws from Data by Prof. Sven Wang
Prof. Sven Wang, Professor at HU Berlin, will discuss Learning Physical Laws from Data
A general introduction to the EU AI Act
This Thursday Morning Talk hosted by Science of Intelligence will provide a talk by Wannes Ooms (KU Leuven Centre for IT & IP Law -imec) discussing the scope of the AI Act, the different qualifications of AI systems under the act and the related obligations or requirements.
Our Mission
BIFOLD conducts groundbreaking foundational research in Big Data Management (DM) and Machine Learning (ML), as well as their intersection, to educate the talents of the future and to create high-impact knowledge.
OPPORTUNITIES
BIFOLD welcomes job applications from interested parties year-round.
PUBLICATIONS
Arnab Phani, Matthias Boehm
MEMPHIS: Holistic Lineage-based Reuse and Memory Management for Multi-backend ML Systems
Felix Neutatz, Marius Lindauer, Ziawasch Abedjan
How Green is AutoML for Tabular Data?
Fatemeh Ahmadi, Marc Speckmann, Malte Fabian Kuhlmann, Ziawasch Abedjan
MaTElDa: Multi-Table Error Detection
GRADUATE SCHOOL
Based on a highly competitive application process, the BIFOLD Graduate School offers an innovative fast-track PhD Program for students holding a bachelor’s degree, as well as a PhD Program for students with a master’s degree.
INSTITUTIONAL PARTNERS
ASSOCIATED PARTNERS
