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Inference Load-Aware Orchestration for Hierarchical Federated Learning

Inference Load-Aware Orchestration for Hierarchical Federated Learning

23 July 2024
Anna Lackinger
P. Frangoudis
Ivan vCilić
Alireza Furutanpey
Ilir Murturi
Ivana Podnar vZarko
Schahram Dustdar
    FedML
ArXivPDFHTML

Papers citing "Inference Load-Aware Orchestration for Hierarchical Federated Learning"

4 / 4 papers shown
Title
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
Adaptive Active Inference Agents for Heterogeneous and Lifelong Federated Learning
Anastasiya Danilenka
Alireza Furutanpey
Víctor Casamayor Pujol
Boris Sedlak
Anna Lackinger
M. Ganzha
M. Paprzycki
Schahram Dustdar
40
0
0
09 Oct 2024
FrankenSplit: Efficient Neural Feature Compression with Shallow
  Variational Bottleneck Injection for Mobile Edge Computing
FrankenSplit: Efficient Neural Feature Compression with Shallow Variational Bottleneck Injection for Mobile Edge Computing
Alireza Furutanpey
Philipp Raith
Schahram Dustdar
73
7
0
21 Feb 2023
Federated Dropout -- A Simple Approach for Enabling Federated Learning
  on Resource Constrained Devices
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Dingzhu Wen
Ki-Jun Jeon
Kaibin Huang
FedML
70
90
0
30 Sep 2021
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
74
606
0
02 Sep 2019
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