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Found 5 papers, 3 papers with code
IndicFed: A Federated Approach for Sentiment Analysis in Indic Languages
Our work tries to steer the research of sentiment analysis for resource-constrained languages in the direction of Federated Learning.
The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)
Pediatric tumors of the central nervous system are the most common cause of cancer-related death in children.
Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors
External validation of the trained nnU-Net model on the multi-institutional BraTS-PEDs 2023 dataset revealed high generalization capability in segmentation of whole tumor and tumor core with Dice scores of 0. 87+/-0. 13 (0. 91) and 0. 83+/-0. 18 (0. 89), respectively.
A Federated Approach for Hate Speech Detection
Hate speech detection has been the subject of high research attention, due to the scale of content created on social media.
A Federated Approach to Predicting Emojis in Hindi Tweets
Much of the machine learning research on emoji use has focused on high resource languages and has conceptualised the task of predicting emojis around traditional server-side machine learning approaches.
