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Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks

Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks

1 August 2023
Natalie Lang
Nir Shlezinger
Rafael G. L. DÓliveira
S. E. Rouayheb
    FedML
ArXivPDFHTML

Papers citing "Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks"

4 / 4 papers shown
Title
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning
Ori Peleg
Natalie Lang
Stefano Rini
Nir Shlezinger
Kobi Cohen
FedML
48
0
0
17 Mar 2025
Stragglers-Aware Low-Latency Synchronous Federated Learning via
  Layer-Wise Model Updates
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
Natalie Lang
Alejandro Cohen
Nir Shlezinger
FedML
48
4
0
27 Mar 2024
Federated Learning with Local Differential Privacy: Trade-offs between
  Privacy, Utility, and Communication
Federated Learning with Local Differential Privacy: Trade-offs between Privacy, Utility, and Communication
Muah Kim
Onur Gunlu
Rafael F. Schaefer
FedML
101
117
0
09 Feb 2021
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
157
756
0
28 Sep 2019
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