2 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
Efficient and Optimal No-Regret Caching under Partial Observation
Younes Ben Mazziane, Francescomaria Faticanti, Sara Alouf +1
Online learning algorithms have been successfully used to design caching policies with sublinear regret in the total number of requests, with no statistical assumption about the re…
No-Regret Caching with Noisy Request Estimates
Younes Ben Mazziane, Francescomaria Faticanti, Giovanni Neglia +1
Online learning algorithms have been successfully used to design caching policies with regret guarantees. Existing algorithms assume that the cache knows the exact request sequence…
Federated Learning under Heterogeneous and Correlated Client Availability
Angelo Rodio, Francescomaria Faticanti, Othmane Marfoq +2
The enormous amount of data produced by mobile and IoT devices has motivated the development of federated learning (FL), a framework allowing such devices (or clients) to collabora…