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20102023
most citedFederated Multi-Task Learning under a Mixture of Distributions

94 citations · 355 across the 30 of their papers we have counts for

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7 papers · 1 filter

cs.NI2023

Performance Model for Similarity Caching

Younes Ben Mazziane, Sara Alouf, Giovanni Neglia +1

Similarity caching allows requests for an item to be served by a similar item. Applications include recommendation systems, multimedia retrieval, and machine learning. Recently, ma…

cs.NI2021★ 1 cited

Ascent Similarity Caching with Approximate Indexes

T. Si-Salem, G. Neglia, D. Carra

Similarity search is a key operation in multimedia retrieval systems and recommender systems, and it will play an important role also for future machine learning and augmented real…

cs.NI2021★ 1 cited

Towards Inference Delivery Networks: Distributing Machine Learning with Optimality Guarantees

T. Si Salem, G. Castellano, G. Neglia +2

An increasing number of applications rely on complex inference tasks that are based on machine learning (ML). Currently, there are two options to run such tasks: either they are se…

cs.NI2021

Content Placement in Networks of Similarity Caches

Michele Garetto, Emilio Leonardi, Giovanni Neglia

Similarity caching systems have recently attracted the attention of the scientific community, as they can be profitably used in many application contexts, like multimedia retrieval…

cs.NI2019

Similarity Caching: Theory and Algorithms

Michele Garetto, Emilio Leonardi, Giovanni Neglia

This paper focuses on similarity caching systems, in which a user request for an {object~} that is not in the cache can be (partially) satisfied by a similar stored {object~…

cs.NI2018★ 3 cited

Feedforward Neural Networks for Caching: Enough or Too Much?

Vladyslav Fedchenko, Giovanni Neglia, Bruno Ribeiro

We propose a caching policy that uses a feedforward neural network (FNN) to predict content popularity. Our scheme outperforms popular eviction policies like LRU or ARC, but also a…

cs.NI2018

Implicit Coordination of Caches in Small Cell Networks under Unknown Popularity Profiles

Emilio Leonardi, Giovanni Neglia

We focus on a dense cellular network, in which a limited-size cache is available at every Base Station (BS). In order to optimize the overall performance of the system in such scen…