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Semi-Synchronous Federated Learning for Energy-Efficient Training and
Accelerated Convergence in Cross-Silo Settings

v1v2 (latest)

Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings

ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021

4 February 2021

Dimitris Stripelis

ArXiv (abs)PDF HTML

Papers citing "Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings"

11 / 11 papers shown

Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice

Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice

218

1

0

14 Oct 2025

LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks

LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge NetworksIEEE Transactions on Mobile Computing (IEEE TMC), 2025

Edith C.H. Ngai

314

10

0

06 Mar 2025

Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings

Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings

Mert Cihangiroglu

Antonino Nocera

274

0

0

06 Mar 2025

Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning

Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning

401

5

0

28 Jan 2025

MetisFL: An Embarrassingly Parallelized Controller for Scalable &
Efficient Federated Learning Workflows

MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows

Dimitris Stripelis

Chrysovalantis Anastasiou

Armaghan Asghar

334

2

0

01 Nov 2023

Serverless Federated Learning with flwr-serverless

Serverless Federated Learning with flwr-serverless

Sanjeev V. Namjoshi

183

0

0

23 Oct 2023

Federated Learning over Harmonized Data Silos

Federated Learning over Harmonized Data Silos

Dimitris Stripelis

267

3

0

15 May 2023

Semi-Synchronous Personalized Federated Learning over Mobile Edge
Networks

Semi-Synchronous Personalized Federated Learning over Mobile Edge NetworksIEEE Transactions on Wireless Communications (TWC), 2022

184

20

0

27 Sep 2022

Towards Sparsified Federated Neuroimaging Models via Weight Pruning

Towards Sparsified Federated Neuroimaging Models via Weight Pruning

Dimitris Stripelis

Nikhil J. Dhinagar

Paul M. Thompson

171

3

0

24 Aug 2022

Secure & Private Federated Neuroimaging

Secure & Private Federated Neuroimaging

Dimitris Stripelis

Nikhil J. Dhinagar

...

Muhammad Naveed

Paul M. Thompson

207

3

0

11 May 2022

Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data

Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data

R. SantiagoS.Silva

Marco Lorenzi

386

199

0

19 Oct 2018

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