85 citations · 117 across the 21 of their papers we have counts for
3 papers · 1 filter
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
M Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani +3
Federated Learning (FL) is an emerging machine learning framework that enables multiple clients (coordinated by a server) to collaboratively train a global model by aggregating the…
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
Arti Rani, Shweta Singh, Nihar Ranjan Sahoo +1
Large Language Models (LLMs) have achieved remarkable success on question answering (QA) tasks, yet they often encode harmful biases that compromise fairness and trustworthiness. M…
MGD: Mode-Guided Dataset Distillation using Diffusion Models
Jeffrey A. Chan-Santiago, Praveen Tirupattur, Gaurav Kumar Nayak +2
Dataset distillation has emerged as an effective strategy, significantly reducing training costs and facilitating more efficient model deployment. Recent advances have leveraged ge…