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Towards Federated Learning at Scale: System Design

4 February 2019

Papers citing "Towards Federated Learning at Scale: System Design"

50 / 1,045 papers shown

Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method

Elissa Mhanna

Mohamad Assaad

539

30 Jan 2024

AdaFed: Fair Federated Learning via Adaptive Common Descent Direction

Shayan Mohajer Hamidi

En-Hui Yang

FedML

219

10 Jan 2024

Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning

320

05 Jan 2024

Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach

Mahtab Talaei

Iman Izadi

FedML

104

04 Jan 2024

Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems

179

03 Jan 2024

Facebook Report on Privacy of fNIRS data

Md. Imran Hossen

Sai Venkatesh Chilukoti

Liqun Shan

Vijay Srinivas Tida

X. Hei

113

01 Jan 2024

Federated Continual Learning via Knowledge Fusion: A Survey

Xin Yang

Tianrui Li

260

27 Dec 2023

Federated learning-outcome prediction with multi-layer privacy protection

223

25 Dec 2023

An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms

137

24 Dec 2023

ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection

Kai Huang

Boyuan Yang

Wei Gao

239

21 Dec 2023

FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications

250

20 Dec 2023

Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection

Tomisin Awosika

R. Shukla

Bernardi Pranggono

162

20 Dec 2023

Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing

176

19 Dec 2023

AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices

257

18 Dec 2023

Venn: Resource Management for Collaborative Learning Jobs

266

13 Dec 2023

Ensemble Federated Learning: an approach for collaborative pneumonia diagnosisApplied Soft Computing (Appl. Soft Comput.), 2023

192

12 Dec 2023

Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference AttacksAAAI Conference on Artificial Intelligence (AAAI), 2023

Caridad Arroyo Arevalo

Sayedeh Leila Noorbakhsh

Yun Dong

Yuan Hong

Binghui Wang

277

12 Dec 2023

Exploiting Label Skews in Federated Learning with Model Concatenation

264

11 Dec 2023

FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model UpdateAAAI Conference on Artificial Intelligence (AAAI), 2023

231

10 Dec 2023

Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach

Seyed Mahmoud Sajjadi Mohammadabadi

236

09 Dec 2023

zkDFL: An efficient and privacy-preserving decentralized federated learning with zero-knowledge proofInternational Conference on Applied Informatics and Communication (ICAIC), 2023

Mojtaba Ahmadi

Reza Nourmohammadi

211

01 Dec 2023

Exploring the Robustness of Decentralized Training for Large Language Models

Wangcheng Tao

219

01 Dec 2023

CommunityAI: Towards Community-based Federated LearningInternational Conference on Cognitive Machine Intelligence (ICCMI), 2023

150

29 Nov 2023

FP-Fed: Privacy-Preserving Federated Detection of Browser FingerprintingNetwork and Distributed System Security Symposium (NDSS), 2023

Meenatchi Sundaram Muthu Selva Annamalai

Igor Bilogrevic

Emiliano De Cristofaro

192

28 Nov 2023

Resilient Control of Networked Microgrids using Vertical Federated Reinforcement Learning: Designs and Real-Time Test-Bed ValidationsIEEE Transactions on Smart Grid (IEEE Trans. Smart Grid), 2023

178

21 Nov 2023

FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients

284

19 Nov 2023

FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients

404

16 Nov 2023

Federated Learning with Manifold Regularization and Normalized Update ReaggregationNeural Information Processing Systems (NeurIPS), 2023

Li Shen

204

10 Nov 2023

The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning

Elaheh Jafarigol

Theodore Trafalis

FedML

210

09 Nov 2023

Compressed and Sparse Models for Non-Convex Decentralized Learning

198

09 Nov 2023

Client Orchestration and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning

192

03 Nov 2023

Federated Learning on Edge Sensing Devices: A Review

Berrenur Saylam

Ozlem Durmaz Incel

230

02 Nov 2023

Dynamic Fair Federated Learning Based on Reinforcement Learning

228

02 Nov 2023

Enhancing Scalability and Reliability in Semi-Decentralized Federated Learning With Blockchain: Trust Penalization and Asynchronous FunctionalityUbiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2023

Ajay Kumar Shrestha

F. Khan

Mohammed Afaan Shaikh

Amir Jaberzadeh

Jason Geng

239

30 Oct 2023

Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning EnvironmentsInternational Conference on Parallel and Distributed Systems (ICPADS), 2023

153

27 Oct 2023

FedPEAT: Convergence of Federated Learning, Parameter-Efficient Fine Tuning, and Emulator Assisted Tuning for Artificial Intelligence Foundation Models with Mobile Edge Computing

Kwok-Yan Lam

230

26 Oct 2023

Over-the-Air Federated Learning and Optimization

444

16 Oct 2023

FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy

Ziru Niu

Senior Member Ieee Hai Dong

•. A. K. Qin

Senior Member Ieee Tao Gu

253

15 Oct 2023

PAGE: Equilibrate Personalization and Generalization in Federated LearningThe Web Conference (WWW), 2023

251

13 Oct 2023

Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models ReductionNeural Information Processing Systems (NeurIPS), 2023

290

12 Oct 2023

Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis

Shuaijun Chen

Omid Tavallaie

Michael Henri Hambali

Hamed Haddadi

Albert Y. Zomaya

318

12 Oct 2023

Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control

284

11 Oct 2023

FedNAR: Federated Optimization with Normalized Annealing RegularizationNeural Information Processing Systems (NeurIPS), 2023

Ang Li

134

04 Oct 2023

Source Inference Attacks: Beyond Membership Inference Attacks in Federated LearningIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023

Lichao Sun

178

30 Sep 2023

The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated LearningAutomatic Speech Recognition & Understanding (ASRU), 2023

192

29 Sep 2023

Collaborative Distributed Machine LearningACM Computing Surveys (ACM Comput. Surv.), 2023

383

28 Sep 2023

FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware SchedulerInternational Conference on Learning Representations (ICLR), 2023

Volodymyr V. Kindratenko

268

26 Sep 2023

Federated Learning Under Restricted User AvailabilityIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

Periklis Theodoropoulos

Konstantinos E. Nikolakakis

Dionysios S. Kalogerias

FedML

114

25 Sep 2023

REPA: Client Clustering without Training and Data Labels for Improved Federated Learning in Non-IID Settings

Boris Radovic

Veljko Pejović

FedML

151

25 Sep 2023

Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients

Shourya Bose

Kibaek Kim

170

22 Sep 2023