Pruning Federated Models Through Loss Landscape Analysis and Client Agreement Scoring
Internò C, Raponi E, Olhofer M, Raza A, Bäck T, Stein N van, Jin Y, Hammer B (2026)
IEEE Internet of Things Journal 13(14): 31283-31293.
Christian Internó
PhD Student
christian.interno@uni-bielefeld.deRoom:
Christian Internò is a Ph.D. student in the Machine Learning group. He received his Master’s degree in Data Science from the University of Milano-Bicocca in 2022. Since 2023, he has been pursuing his Ph.D. at the Center for Cognitive Interaction Technology in collaboration with the Honda Research Institute (EU). He has also collaborated with the Cold Spring Harbor Laboratory’s NeuroAI department in New York and with the Natural Computing Group (NaCo) at Leiden University in the Netherlands. His research interests include collaborative machine learning, federated learning, deep neural networks, distributed optimization, and transfer learning.
Publications:
Federated Loss Exploration for Improved Convergence on Non-IID Data
Internò C, Olhofer M, Jin Y, Hammer B (2024)
In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN). New York: Institute of Electrical and Electronics Engineers (IEEE).