19 citations · 40 across the 21 of their papers we have counts for
3 papers · 1 filter
Local K-Similarity Constraint for Federated Learning with Label Noise
Sanskar Amgain, Prashant Shrestha, Bidur Khanal +5
Federated learning on clients with noisy labels is a challenging problem, as such clients can infiltrate the global model, impacting the overall generalizability of the system. Exi…
Augmenting Organizational Decision-Making with Deep Learning Algorithms: Principles, Promises, and Challenges
Yash Raj Shrestha, Vaibhav Krishna, Georg von Krogh
The current expansion of theory and research on artificial intelligence in management and organization studies has revitalized the theory and research on decision-making in organiz…
Adversarial Learning for Debiasing Knowledge Graph Embeddings
Mario Arduini, Lorenzo Noci, Federico Pirovano +3
Knowledge Graphs (KG) are gaining increasing attention in both academia and industry. Despite their diverse benefits, recent research have identified social and cultural biases emb…