3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Structural Negative Transfer in Federated Graph Neural Networks: Diagnosis, Causal Investigation, and the Limits of Divergence-Aware Mitigation
Chethana Prasad Kabgere, Shylaja SS
Federated learning lets multiple participants train a shared model without pooling raw data, by exchanging locally trained model updates instead. Federated averaging assumes that a…
cs.LG2026
On the Geometric Coherence of Global Aggregation in Federated Graph Neural Networks
Chethana Prasad Kabgere, Shylaja SS
Federated learning over graph-structured data exposes a fundamental mismatch between standard aggregation mechanisms and the operator nature of graph neural networks (GNNs). While…
cs.LG2022★ 3 cited
Interpretability for Multimodal Emotion Recognition using Concept Activation Vectors
Ashish Ramayee Asokan, Nidarshan Kumar, Anirudh Venkata Ragam +1
Multimodal Emotion Recognition refers to the classification of input video sequences into emotion labels based on multiple input modalities (usually video, audio and text). In rece…