Sadi Alawadi

FedQAS: Privacy-Aware Machine Reading Comprehension with Federated Learning

2022 · Applied Sciences

Machine reading comprehension (MRC) of text data is a challenging task in Natural Language Processing (NLP), with a lot of ongoing research fueled by the release of the Stanford Question Answering Dataset (SQuAD) and Conversational …

FedSparQ: Adaptive Sparse Quantization with Error Feedback for Robust & Efficient Federated Learning

2025 · arXiv (Cornell University)

Federated Learning (FL) enables collaborative model training across decentralized clients while preserving data privacy by keeping raw data local. However, FL suffers from significant communication overhead due to the frequent exchange of high-dimensional model updates …