50 citations · 84 across the 8 of their papers we have counts for
14 papers
Efficient passive membership inference attack in federated learning
Oualid Zari, Chuan Xu, Giovanni Neglia
In cross-device federated learning (FL) setting, clients such as mobiles cooperate with the server to train a global machine learning model, while maintaining their data locally. H…
A New Upper Bound on Cache Hit Probability for Non-anticipative Caching Policies
Nitish K. Panigrahy, Philippe Nain, Giovanni Neglia +1
Caching systems have long been crucial for improving the performance of a wide variety of network and web based online applications. In such systems, end-to-end application perform…
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…
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane Marfoq, Chuan Xu, Giovanni Neglia +1
Federated learning usually employs a client-server architecture where an orchestrator iteratively aggregates model updates from remote clients and pushes them back a refined model.…
Dynamic backup workers for parallel machine learning
Chuan Xu, Giovanni Neglia, Nicola Sebastianelli
The most popular framework for distributed training of machine learning models is the (synchronous) parameter server (PS). This paradigm consists of workers, which iteratively…
Decentralized gradient methods: does topology matter?
Giovanni Neglia, Chuan Xu, Don Towsley +1
Consensus-based distributed optimization methods have recently been advocated as alternatives to parameter server and ring all-reduce paradigms for large scale training of machine…