Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Leith, Douglas J."'
China is currently the country with the largest number of Android smartphone users. We use a combination of static and dynamic code analysis techniques to study the data transmitted by the preinstalled system apps on Android smartphones from three of
Externí odkaz:
http://arxiv.org/abs/2302.01890
Autor:
Leith, Douglas J., Iosifidis, George
In this paper we extend the classical Follow-The-Regularized-Leader (FTRL) algorithm to encompass time-varying constraints, through adaptive penalization. We establish sufficient conditions for the proposed Penalized FTRL algorithm to achieve $O(\sqr
Externí odkaz:
http://arxiv.org/abs/2204.02197
We consider the general problem of online convex optimization with time-varying additive constraints in the presence of predictions for the next cost and constraint functions. A novel primal-dual algorithm is designed by combining a Follow-The-Regula
Externí odkaz:
http://arxiv.org/abs/2201.02890
An increasing number of mobile applications rely on Machine Learning (ML) routines for analyzing data. Executing such tasks at the user devices saves the energy spent on transmitting and processing large data volumes at distant cloud-deployed servers
Externí odkaz:
http://arxiv.org/abs/2201.02840
Autor:
Gringoli, Francesco, Leith, Douglas J.
We derive an analytic model of packet aggregation on the the downlink of an 802.11ac WLAN when packet arrivals are paced. The model is closed-form and so suitable for both analysis and design of next generation edge architectures that aim to achieve
Externí odkaz:
http://arxiv.org/abs/2101.07562
Autor:
Leith, Douglas J., Farrell, Stephen
We report on the results of a measurement study carried out on a commuter bus in Dublin, Ireland using the Google/Apple Exposure Notification (GAEN) API. This API is likely to be widely used by Covid-19 contact tracing apps. Measurements were collect
Externí odkaz:
http://arxiv.org/abs/2006.08543
Autor:
Leith, Douglas J., Farrell, Stephen
We report on measurements of Bluetooth Low Energy (LE) received signal strength taken on mobile handsets in a variety of common, real-world settings. We note that a key difficulty is obtaining the ground truth as to when people are in close proximity
Externí odkaz:
http://arxiv.org/abs/2006.06822
Autor:
Anderson, Daron, Leith, Douglas J.
We consider online learning problems where the aim is to achieve regret which is efficient in the sense that it is the same order as the lowest regret amongst K experts. This is a substantially stronger requirement that achieving $O(\sqrt{n})$ or $O(
Externí odkaz:
http://arxiv.org/abs/1911.04307
Autor:
Gringoli, Francesco, Leith, Douglas J.
In this paper we consider a next generation edge architecture where traffic is routed via a proxy located close to the network edge (e.g. within a cloudlet). This creates freedom to implement new transport layer behaviour over the wireless path betwe
Externí odkaz:
http://arxiv.org/abs/1910.09651
This paper addresses Online Convex Optimization (OCO) problems where the constraints have additive perturbations that (i) vary over time and (ii) are not known at the time to make a decision. Perturbations may not be i.i.d. generated and can be used
Externí odkaz:
http://arxiv.org/abs/1906.00049