Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mounssif Krouka"'
Owing to their fast convergence, second-order Newton-type learning methods have recently received attention in the federated learning (FL) setting. However, current solutions are based on communicating the Hessian matrices from the devices to the par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58f12c0e234b1fdae18aab16515f46c5
http://urn.fi/urn:nbn:fi-fe2019080123354
http://urn.fi/urn:nbn:fi-fe2019080123354
Publikováno v:
IEEE Transactions on Cognitive Communications and Networking
In this paper, we consider a distributed reinforcement learning setting where agents are communicating with a central entity in a shared environment to maximize a global reward. A main challenge in this setting is that the randomness of the wireless
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1350ec707b2f350e9fb261f17abf0f55
http://urn.fi/urn:nbn:fi-fe2022012811205
http://urn.fi/urn:nbn:fi-fe2022012811205
Publikováno v:
WCNC
In this paper, we tackle the problem of remote monitoring (e.g., remote factory) in which a number of sensor nodes are transmitting time sensitive measurements to a remote monitoring site. We assume that packets generated by different sensors have di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d435ab53fe5ff1b46389f1b8d9aff94a
http://urn.fi/urn:nbn:fi-fe2020081248378
http://urn.fi/urn:nbn:fi-fe2020081248378
Publikováno v:
ISCC
Age of Information (AoI) measures the freshness of the information at a remote location. AoI reflects the time that is elapsed since the generation of the packet by a transmitter. In this paper, we consider a remote monitoring problem (e.g., remote f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36dd680d3670f73b631a39362da9c602
https://doi.org/10.1109/iscc47284.2019.8969641
https://doi.org/10.1109/iscc47284.2019.8969641
Publikováno v:
2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
PIMRC
PIMRC
Today’s intelligent applications can achieve high performance accuracy using machine learning (ML) techniques, such as deep neural networks (DNNs). Traditionally, in a remote DNN inference problem, an edge device transmits raw data to a remote node
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70abcfefc3198218986001b2b4c4dabf
Publikováno v:
2021 IEEE Global Communications Conference (GLOBECOM)
Split-learning (SL) has recently gained popularity due to its inherent privacy-preserving capabilities and ability to enable collaborative inference for devices with limited computational power. Standard SL algorithms assume an ideal underlying digit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88826ad6f73ccbca401511ddf0fc5d2d