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2402.07295
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Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning
11 February 2024
Mohak Chadha
Pulkit Khera
Jianfeng Gu
Osama Abboud
Michael Gerndt
FedML
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Papers citing
"Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning"
4 / 4 papers shown
Title
Papaya: Practical, Private, and Scalable Federated Learning
Dzmitry Huba
John Nguyen
Kshitiz Malik
Ruiyu Zhu
Michael G. Rabbat
...
H. Srinivas
Kaikai Wang
Anthony Shoumikhin
Jesik Min
Mani Malek
FedML
99
135
0
08 Nov 2021
FedLess: Secure and Scalable Federated Learning Using Serverless Computing
Andreas Grafberger
Mohak Chadha
Anshul Jindal
Jianfeng Gu
Michael Gerndt
30
49
0
05 Nov 2021
IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig
Nathalie Baracaldo
Gegi Thomas
Yi Zhou
Ali Anwar
...
Sean Laguna
Mikhail Yurochkin
Mayank Agarwal
Ebube Chuba
Annie Abay
FedML
124
156
0
22 Jul 2020
funcX: A Federated Function Serving Fabric for Science
Ryan Chard
Y. Babuji
Zhuozhao Li
Tyler J. Skluzacek
A. Woodard
B. Blaiszik
Ian T. Foster
Kyle Chard
33
187
0
07 May 2020
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