SplitFed resilience to packet loss: Where to split, that is the question

25 July 2023

Papers citing "SplitFed resilience to packet loss: Where to split, that is the question"

8 / 8 papers shown

Title
Quality-Adaptive Split-Federated Learning for Segmenting Medical Images with Inaccurate Annotations Zahra Hafezi Kafshgari C. Shiranthika Parvaneh Saeedi Ivan V. Bajić FedML 42 6 0 28 Apr 2023
SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments Shreshth Tuli G. Casale N. Jennings 37 31 0 21 May 2022
CALTeC: Content-Adaptive Linear Tensor Completion for Collaborative Intelligence Ashiv Dhondea R. Cohen Ivan V. Bajić 11 9 0 10 Jun 2021
Collaborative Intelligence: Challenges and Opportunities Ivan V. Bajić Weisi Lin Yonghong Tian 25 52 0 13 Feb 2021
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 63 573 0 25 Apr 2020
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 78 694 0 03 Dec 2018
Distributed learning of deep neural network over multiple agents O. Gupta Ramesh Raskar FedML OOD 42 602 0 14 Oct 2018
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations Carole H Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso SSeg 79 2,132 0 11 Jul 2017