69 citations · 267 across the 34 of their papers we have counts for
3 papers · 1 filter
On the Cost of Model-Serving Frameworks: An Experimental Evaluation
Pasquale De Rosa, Yérom-David Bromberg, Pascal Felber +2
In machine learning (ML), the inference phase is the process of applying pre-trained models to new, unseen data with the objective of making predictions. During the inference phase…
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments
Simon Queyrut, Valerio Schiavoni, Pascal Felber
The main premise of federated learning (FL) is that machine learning model updates are computed locally to preserve user data privacy. This approach avoids by design user data to e…
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Simon Queyrut, Yérom-David Bromberg, Valerio Schiavoni
The main premise of federated learning is that machine learning model updates are computed locally, in particular to preserve user data privacy, as those never leave the perimeter…