Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ben Issaid, C. (Chaouki)"'
Publikováno v:
2022 IEEE Wireless Communications and Networking Conference (WCNC).
In this paper, we propose a communication-efficient alternating direction method of multipliers (ADMM)-based algorithm for solving a distributed learning problem in the stochastic non-convex setting. Our approach runs a few stochastic gradient descen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afcded56c374a70cf980f67fdad652b0
https://doi.org/10.1109/wcnc51071.2022.9771559
https://doi.org/10.1109/wcnc51071.2022.9771559
In this paper, we propose to solve a regularized distributionally robust learning problem in the decentralized setting, taking into account the data distribution shift. By adding a Kullback-Liebler regularization function to the robust min-max optimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0e58bbe9a841c29585787b44645e557
Autor:
Elgabli, A. (Anis), Ben Issaid, C. (Chaouki), Bedi, A. S. (Amrit S.), Bennis, M. (Mehdi), Aggarwal, V. (Vaneet)
In this paper, we propose an energy-efficient federated meta-learning framework. The objective is to enable learning a meta-model that can be fine-tuned to a new task with a few number of samples in a distributed setting and at low computation and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2423::cacfcb73c2df2b482ed451b22326dd98
http://urn.fi/urn:nbn:fi-fe2023032733313
http://urn.fi/urn:nbn:fi-fe2023032733313