4 papers
BLOSSOM: Block-wise Federated Learning Over Shared and Sparse Observed Modalities
Pranav M R, Jayant Chandwani, Ahmed M. Abdelmoniem +1
Multimodal federated learning (FL) is essential for real-world applications such as autonomous systems and healthcare, where data is distributed across heterogeneous clients with v…
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
Sarang S, Druva Dhakshinamoorthy, Aditya Shiva Sharma +4
Federated Learning (FL) is a decentralized machine learning (ML) paradigm in which models are trained on private data across several devices called clients and combined at a single…
Benchmarking Mutual Information-based Loss Functions in Federated Learning
Sarang S, Harsh D. Chothani, Qilei Li +2
Federated Learning (FL) has attracted considerable interest due to growing privacy concerns and regulations like the General Data Protection Regulation (GDPR), which stresses the i…
A Blockchain-Enabled Framework for Storage and Retrieval of Social Data
Aishwarya Parab, Prakhar Pradhan, Yogesh Simmhan +1
The increasing availability of data from diverse sources, including trusted entities such as governments, as well as untrusted crowd-sourced contributors, demands a secure and trus…