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cs.LG2025
On Measuring Localization of Shortcuts in Deep Networks
Nikita Tsoy, Nikola Konstantinov
Shortcuts, spurious rules that perform well during training but fail to generalize, present a major challenge to the reliability of deep networks (Geirhos et al., 2020). However, t…
cs.LG2024
Incentivizing Truthful Collaboration in Heterogeneous Federated Learning
Dimitar Chakarov, Nikita Tsoy, Kristian Minchev +1
Federated learning (FL) is a distributed collaborative learning method, where multiple clients learn together by sharing gradient updates instead of raw data. However, it is well-k…
cs.LG2023
Strategic Data Sharing between Competitors
Nikita Tsoy, Nikola Konstantinov
Collaborative learning techniques have significantly advanced in recent years, enabling private model training across multiple organizations. Despite this opportunity, firms face a…