Existing research on data valuation in federated and swarm learning focu...
Federated learning (FL) is an effective technique to directly involve ed...
There is a resurgence of interest in Byzantine fault-tolerant (BFT) syst...
Cloud applications use more than just server resources, they also requir...
As adoption of blockchain-based systems grows, more attention is being g...
Trained with a sufficiently large training and testing dataset, Deep Neu...
Software model checking is a verification technique which is widely used...
The widespread adoption of Deep Neural Networks (DNNs) in important doma...
Permissioned blockchains employ Byzantine fault-tolerant (BFT) state mac...
Data-driven decision making is gaining prominence with the popularity of...
Performance issues in cloud systems are hard to debug. Distributed traci...
Network Function (NF) deployments suffer from poor link goodput, because...
We present XSnare, a fully client-side XSS solution, implemented as a Fi...
Bitcoin is a top-ranked cryptocurrency that has experienced huge growth ...
Recent networking research has identified that data-driven congestion co...
Centralized solutions for privacy-preserving multi-party ML are becoming...
Distributed machine learning (ML) systems today use an unsophisticated t...
Machine learning (ML) over distributed data is relevant to a variety of
...