Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning
Poster, Sorbonne University, Paris, FR
I presented my work on privacy in federated learning at the 4th ELLIS PhD Symposium.
Talks and presentations
Observations of Using Model Complexity Reduction as a Defense Against Membership Retrieval
Talk, IMT School for Advanced Studies - Online, Lucca, IT
I presented my work on privacy in federated learning at the ML-DAS Workshop.
Federated Learning
Talk, Lilongwe University of Agriculture and Natural Resources, Lilongwe, MW
I presented my work on federated learning at the Machine learning and Data Science course organized together with the TReND in Africa organization.
Privacy in Federated Learning
Poster, Aalto University, Helsinki, FI
I presented my work on privacy in federated learning at the 3rd ELLIS PhD Symposium.
Privacy in Federated Learning
Talk, University of Sussex, Brighton, UK
I presented my work on privacy in federated learning at the TAG-PAL Symposium.
Privacy-preserving Federated Learning
Talk, University of Alicante, Alicante, SP
I presented my work on privacy-preserving federated learning in front of the JURI committee of the European Parliament at ELLIS Alicante.
Client selection in Federated Learning
Poster, University of Alicante, Alicante, SP
I presented my review work on client selection in federated learning at the 2nd ELLIS PhD Symposium.
Fairness in Federated Learning: Challenges and Opportunities
Talk, University of Alicante, Alicante, SP
I presented my review of the field of federated learning in preparation for my research plan for the PhD thesis.
Dataset libraries
Talk, University of Tubingen, Tubingen, DE
I presented an overview of the dataset libraries and collections, including HuggingFace Datasets and Google Dataset search at the 1st ELLIS PhD Symposium.
Szótagolás mély neurális hálózatokkal
Talk, Budapest University of Technology and Economics, Building I., Budapest, HU