4 citations · 4 across the 4 of their papers we have counts for
4 papers
FedDec: Peer-to-peer Aided Federated Learning
Marina Costantini, Giovanni Neglia, Thrasyvoulos Spyropoulos
Federated learning (FL) has enabled training machine learning models exploiting the data of multiple agents without compromising privacy. However, FL is known to be vulnerable to d…
Quid pro Quo in Streaming Services: Algorithms for Cooperative Recommendations
Dimitra Tsigkari, George Iosifidis, Thrasyvoulos Spyropoulos
Recommendations are employed by Content Providers (CPs) of streaming services in order to boost user engagement and their revenues. Recent works suggest that nudging recommendation…
Pick your Neighbor: Local Gauss-Southwell Rule for Fast Asynchronous Decentralized Optimization
Marina Costantini, Nikolaos Liakopoulos, Panayotis Mertikopoulos +1
In decentralized optimization environments, each agent in a network of nodes has its own private function , and nodes communicate with their neighbors to cooperatively…
Soft Cache Hits and the Impact of Alternative Content Recommendations on Mobile Edge Caching
Thrasyvoulos Spyropoulos, Pavlos Sermpezis
Caching popular content at the edge of future mobile networks has been widely considered in order to alleviate the impact of the data tsunami on both the access and backhaul networ…