most citedFedVLM: Scalable Personalized Vision-Language Models through Federated Learning

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Enhancing Graph Neural Networks: A Mutual Learning Approach

Paul Agbaje, Arkajyoti Mitra, Afia Anjum +3

Knowledge distillation (KD) techniques have emerged as a powerful tool for transferring expertise from complex teacher models to lightweight student models, particularly beneficial…

cs.CV2025★ 2 cited

FedVLM: Scalable Personalized Vision-Language Models through Federated Learning

Arkajyoti Mitra, Afia Anjum, Paul Agbaje +2

Vision-language models (VLMs) demonstrate impressive zero-shot and few-shot learning capabilities, making them essential for several downstream tasks. However, fine-tuning these mo…

cs.LG2024★ 1 cited

Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs

Afia Anjum, Maksim E. Eren, Ismael Boureima +2

In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing (NLP) tasks, such as question-answering,…