These projects were presented as posters during the Flower AI Summit 2024, on 14-15 March 2024 in London.

Speakers and poster titles:
00:00 - "FedArtML recharged with feature + quantity skew partition and non-IID quantification methods"
Daniel Jimenez, Data Science PhD Student at Sapienza University of Rome
LinkedIn: [ Ссылка ]

04:49 - "Subspace Training for Federated Learning"
Dennis Grinwald, PhD student in Machine Learning at Technische Universität Berlin & BIFOLD
LinkedIn: [ Ссылка ]

09:45 - "Federated learning for data collaboration in genomics"
Dmitry Kolobkov, Data Scientist at GENXT
LinkedIn: [ Ссылка ]


14:24 - "Supporting FedOps for Cross Silo Scenarios"
Yong-Gyom Kim, Researcher at Gachon University
LinkedIn: [ Ссылка ]
Yusubov Farkhod, Researcher at Gachon University
LinkedIn: [ Ссылка ]

17:52 - "Inverse-PID: A Mathematical Approach towards Detecting Real-World Wear & Tear"
Severin K. Y. Pang, Data Scientist at ei3
LinkedIn: [ Ссылка ]

Check out the other excellent talks during the Flower AI Summit 2024!
Talk playlist: [ Ссылка ]
Live recording AI Research Day: [ Ссылка ]
Live recording AI Industry Day: [ Ссылка ]

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