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A Layer Selection Optimizer for Communication-Efficient Decentralized Federated Deep Learning

  • Published:2023 Issue: Volume:11 Page:22155-22173
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Barbieri Luca1ORCID,Savazzi Stefano2ORCID,Nicoli Monica3ORCID

Affiliation:

1. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

2. Institute of Electronics, Information and Telecommunications Engineering (IEIIT), Consiglio Nazionale delle Ricerche, Milan, Italy

3. Dipartimento di Ingegneria Gestionale, Politecnico di Milano, Milan, Italy

Funder

Regione Lombardia

CHIST-ERA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

2. A Compressed Decentralized Federated Learning Framework for Enhanced Environmental Awareness in V2V Networks;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

3. Split Consensus Federated Learning: An Approach for Distributed Training and Inference;IEEE Access;2024

4. Cooperative Processing and Learning Methods for High-Resolution Environmental Perception;SpringerBriefs in Applied Sciences and Technology;2024

5. A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification;2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD);2023-11-06
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