2 citations · 5 across the 10 of their papers we have counts for
12 papers
Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computing
Bowen Sun, Christos D. Antonopoulos, Evgenia Smirni +3
Serverless computing simplifies cloud deployment but introduces new challenges in managing service latency and carbon emissions. Reducing cold-start latency requires retaining warm…
DPUConfig: Optimizing ML Inference in FPGAs Using Reinforcement Learning
Alexandros Patras, Spyros Lalis, Christos D. Antonopoulos +1
Heterogeneous embedded systems, with diverse computing elements and accelerators such as FPGAs, offer a promising platform for fast and flexible ML inference, which is crucial for…
Using Machine Learning to Take Stay-or-Go Decisions in Data-driven Drone Missions
Giorgos Polychronis, Foivos Pournaropoulos, Christos D. Antonopoulos +1
Drones are becoming indispensable in many application domains. In data-driven missions, besides sensing, the drone must process the collected data at runtime to decide whether addi…
Black-box Adversarial Attacks on CNN-based SLAM Algorithms
Maria Rafaela Gkeka, Bowen Sun, Evgenia Smirni +3
Continuous advancements in deep learning have led to significant progress in feature detection, resulting in enhanced accuracy in tasks like Simultaneous Localization and Mapping (…
Should I Stay or Should I Go: A Learning Approach for Drone-based Sensing Applications
Giorgos Polychronis, Manos Koutsoubelias, Spyros Lalis
Multicopter drones are becoming a key platform in several application domains, enabling precise on-the-spot sensing and/or actuation. We focus on the case where the drone must proc…
MP-SL: Multihop Parallel Split Learning
Joana Tirana, Spyros Lalis, Dimitris Chatzopoulos
Federated Learning (FL) stands out as a widely adopted protocol facilitating the training of Machine Learning (ML) models while maintaining decentralized data. However, challenges…