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09/21/2023
Performance Model for Similarity Caching
Similarity caching allows requests for an item to be served by a similar...
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09/05/2023
No-Regret Caching with Noisy Request Estimates
Online learning algorithms have been successfully used to design caching...
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06/11/2023
FedDec: Peer-to-peer Aided Federated Learning
Federated learning (FL) has enabled training machine learning models exp...
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01/11/2023
Federated Learning under Heterogeneous and Correlated Client Availability
The enormous amount of data produced by mobile and IoT devices has motiv...
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01/04/2023
Federated Learning for Data Streams
Federated learning (FL) is an effective solution to train machine learni...
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10/28/2022
Local Model Reconstruction Attacks in Federated Learning and their Uses
In this paper, we initiate the study of local model reconstruction attac...
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09/07/2022
Computing the Hit Rate of Similarity Caching
Similarity caching allows requests for an item i to be served by a simil...
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03/28/2022
A Formal Analysis of the Count-Min Sketch with Conservative Updates
Count-Min Sketch with Conservative Updates (CMS-CU) is a popular algorit...
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11/17/2021
Personalized Federated Learning through Local Memorization
Federated learning allows clients to collaboratively learn statistical m...
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10/31/2021
Efficient passive membership inference attack in federated learning
In cross-device federated learning (FL) setting, clients such as mobiles...
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08/23/2021
Federated Multi-Task Learning under a Mixture of Distributions
The increasing size of data generated by smartphones and IoT devices mot...
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06/11/2021
A New Upper Bound on Cache Hit Probability for Non-anticipative Caching Policies
Caching systems have long been crucial for improving the performance of ...
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05/06/2021
Towards Inference Delivery Networks: Distributing Machine Learning with Optimality Guarantees
We present the novel idea of inference delivery networks (IDN), networks...
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02/09/2021
Content Placement in Networks of Similarity Caches
Similarity caching systems have recently attracted the attention of the ...
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01/29/2021
No-Regret Caching via Online Mirror Descent
We study an online caching problem in which requests can be served by a ...
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10/23/2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Federated learning usually employs a client-server architecture where an...
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04/30/2020
Dynamic backup workers for parallel machine learning
The most popular framework for distributed training of machine learning ...
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02/28/2020
Decentralized gradient methods: does topology matter?
Consensus-based distributed optimization methods have recently been advo...
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12/21/2019
A Swiss Army Knife for Dynamic Caching in Small Cell Networks
We consider a dense cellular network, in which a limited-size cache is a...
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12/09/2019
Similarity Caching: Theory and Algorithms
This paper focuses on similarity caching systems, in which a user reques...
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10/16/2018
Feedforward Neural Networks for Caching: Enough or Too Much?
We propose a caching policy that uses a feedforward neural network (FNN)...
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04/05/2018
Implicit Coordination of Caches in Small Cell Networks under Unknown Popularity Profiles
We focus on a dense cellular network, in which a limited-size cache is a...
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02/13/2018
Elastic Provisioning of Cloud Caches: a Cost-aware TTL Approach
We consider elastic resource provisioning in the cloud, focusing on in-m...
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12/12/2016
Dissecting demand response mechanisms: the role of consumption forecasts and personalized offers
Demand-Response (DR) programs, whereby users of an electricity network a...
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12/12/2016
