Building Communication Efficient Asynchronous Peer-to-Peer Federated LLMs with Blockchain. - Sree Bhargavi Balija; Amitash Nanda; Debashis Sahoo (AAAI Spring Symposia, 2024)

CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models. - Amitash Nanda; Sree Bhargavi Balija; Debashis Sahoo (CoRR, 2024)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)

FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments. - Sree Bhargavi Balija (CoRR, 2025)

FedNAMs: Performing Interpretability Analysis in Federated Learning Context. - Amitash Nanda; Sree Bhargavi Balija; Debashis Sahoo (CoRR, 2025)

Decoding Federated Learning: The FedNAM+ Conformal Revolution. - Sree Bhargavi Balija; Amitash Nanda; Debashis Sahoo (CoRR, 2025)

The Trust Fabric: Decentralized Interoperability and Economic Coordination for the Agentic Web. - Sree Bhargavi Balija; Rekha Singhal; Ramesh Raskar; Erfan Darzi; Raghu Bala; Thomas Hardjono; Ken Huang (CoRR, 2025)