3 citations · 3 across the 8 of their papers we have counts for
3 papers · 1 filter
On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
Daniel M. Jimenez-Gutierrez, Yelizaveta Falkouskaya, Jose L. Hernandez-Ramos +3
Federated Learning (FL) is an emerging distributed machine learning paradigm enabling multiple clients to train a global model collaboratively without sharing their raw data. While…
Efficient Query Verification for Blockchain Superlight Clients Using SNARKs
Stefano De Angelis, Ivan Visconti, Andrea Vitaletti +1
Blockchains are among the most powerful technologies to realize decentralized information systems. In order to safely enjoy all guarantees provided by a blockchain, one should main…
Decentralized Fair Exchange with Advertising
Pierpaolo Della Monica, Ivan Visconti, Andrea Vitaletti +1
Before a fair exchange takes place, there is typically an advertisement phase with the goal of increasing the appeal of possessing a digital asset while keeping it sufficiently hid…