skip to main content


Title: DAFL: Delay Efficient Federated Learning over Mobile Devices via Device-to-Device Transmissions
Award ID(s):
2107057 2318664
PAR ID:
10536869
Author(s) / Creator(s):
; ; ; ; ; ;
Publisher / Repository:
IEEE
Date Published:
ISBN:
979-8-3503-1090-0
Page Range / eLocation ID:
5262 to 5267
Format(s):
Medium: X
Location:
Kuala Lumpur, Malaysia
Sponsoring Org:
National Science Foundation
More Like this
  1. In order to preserve the privacy of the users demands from other users, in this paper we formulate a novel information theoretic Device-to-Device (D2D) private caching model by adding a trusted server. In the delivery phase, the trusted server collects the users demands and sends a query to each user, who then broadcasts packets according to this query. Two D2D private caching schemes (uncoded and coded) are proposed in this paper, which are shown to be order optimal. 
    more » « less