80 citations · 104 across the 21 of their papers we have counts for
5 papers · 1 filter
FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite Constellations
Ziwu Liu, Inês Pinto Gouveia, Rehana Yasmin +2
Federated learning over low Earth orbit (LEO) satellite networks is limited by frequent link changes, short contact times, and a highly dynamic topology, making centralized or sync…
Pure Operation-Based Replicated Data Types
Carlos Baquero, Paulo Sergio Almeida, Ali Shoker
Distributed systems designed to serve clients across the world often make use of geo-replication to attain low latency and high availability. Conflict-free Replicated Data Types (C…
Exploiting Universal Redundancy
Ali Shoker
Fault tolerance is essential for building reliable services; however, it comes at the price of redundancy, mainly the "replication factor" and "diversity". With the increasing reli…
Delta State Replicated Data Types
Paulo Sérgio Almeida, Ali Shoker, Carlos Baquero
CRDTs are distributed data types that make eventual consistency of a distributed object possible and non ad-hoc. Specifically, state-based CRDTs ensure convergence through dissemin…
Efficient State-based CRDTs by Delta-Mutation
Paulo Sérgio Almeida, Ali Shoker, Carlos Baquero
CRDTs are distributed data types that make eventual consistency of a distributed object possible and non ad-hoc. Specifically, state-based CRDTs ensure convergence through dissemin…