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Advances and Open Problems in Federated Learning

v1v2v3 (latest)

Advances and Open Problems in Federated Learning

10 December 2019

Zachary B. Charles

Rachel Cummings

Rafael G. L. DÓliveira

Zachary Garrett

Phillip B. Gibbons

Zaïd Harchaoui

Lie He

Aleksandra Korolova

Oluwasanmi Koyejo

Tancrède Lepoint

Yang Liu

Mariana Raykova

Sebastian U. Stich

Florian Tramèr

Praneeth Vepakomma

ArXiv (abs)PDF HTML

Papers citing "Advances and Open Problems in Federated Learning"

50 / 2,960 papers shown

Federated Learning for Deforestation Detection: A Distributed Approach with Satellite Imagery

Federated Learning for Deforestation Detection: A Distributed Approach with Satellite Imagery

Basabdatta Palit

74

0

0

17 Sep 2025

FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning

FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning

105

0

0

17 Sep 2025

FedAVOT: Exact Distribution Alignment in Federated Learning via Masked Optimal Transport

FedAVOT: Exact Distribution Alignment in Federated Learning via Masked Optimal Transport

Dionysis Kalogerias

104

0

0

17 Sep 2025

Poison to Detect: Detection of Targeted Overfitting in Federated Learning

Poison to Detect: Detection of Targeted Overfitting in Federated Learning

Soumia Zohra El Mestari

Maciej Krzysztof Zuziak

Gabriele Lenzini

123

0

0

15 Sep 2025

Enhancing Smart Farming Through Federated Learning: A Secure, Scalable, and Efficient Approach for AI-Driven Agriculture

Enhancing Smart Farming Through Federated Learning: A Secure, Scalable, and Efficient Approach for AI-Driven AgricultureArtificial Intelligence and Applications (AIA), 2025

113

1

0

15 Sep 2025

Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks

Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks

Francisco Javier Esono Nkulu Andong

115

0

0

12 Sep 2025

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning

ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning

116

1

0

11 Sep 2025

Securing Private Federated Learning in a Malicious Setting: A Scalable TEE-Based Approach with Client Auditing

Securing Private Federated Learning in a Malicious Setting: A Scalable TEE-Based Approach with Client Auditing

Satoshi Hasegawa

134

0

0

10 Sep 2025

Perfectly-Private Analog Secure Aggregation in Federated Learning

Perfectly-Private Analog Secure Aggregation in Federated Learning

Delio Jaramillo-Velez

Ragnar Freij-Hollanti

Camilla Hollanti

Alexandre Graell i Amat

142

0

0

10 Sep 2025

Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling

Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling

Daniel Richards Arputharaj

Charlotte Rodriguez

Giovanni Neglia

121

0

0

10 Sep 2025

A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning

A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning

Thanh Linh Nguyen

81

0

0

10 Sep 2025

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical InsightsPeerJ Computer Science (PeerJ CS), 2025

Cosmin Hatfaludi

197

0

0

05 Sep 2025

AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning

AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning

Sajedul Talukder

Md. jahangir Alam

271

0

0

04 Sep 2025

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation

Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation

151

1

0

03 Sep 2025

From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks

From Federated Learning to X-Learning: Breaking the Barriers of Decentrality Through Random Walks

Allan Salihovic

Payam Abdisarabshali

Michael Langberg

Seyyedali Hosseinalipour

286

0

0

03 Sep 2025

Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients

Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients

Eugene Belilovsky

112

0

0

03 Sep 2025

Federated Learning: An approach with Hybrid Homomorphic Encryption

Federated Learning: An approach with Hybrid Homomorphic Encryption

97

0

0

03 Sep 2025

DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search

DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search

...

172

1

0

28 Aug 2025

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data

Adaptive Federated Distillation for Multi-Domain Non-IID Textual Data

95

0

0

28 Aug 2025

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks

Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks

Muhammad Ahmed Mohsin

Muhammad Hamza Nawaz

Muhammad Ali Jamshed

143

0

0

27 Aug 2025

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge

108

2

0

26 Aug 2025

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization

Enhancing Model Privacy in Federated Learning with Random Masking and Quantization

219

1

0

26 Aug 2025

Tackling Federated Unlearning as a Parameter Estimation Problem

Tackling Federated Unlearning as a Parameter Estimation Problem

Antonio Balordi

158

0

0

26 Aug 2025

Privacy-Preserving Federated Learning Framework for Risk-Based Adaptive Authentication

Privacy-Preserving Federated Learning Framework for Risk-Based Adaptive Authentication

Dimitrios Makrakis

Hamidreza Fereidouni

208

0

0

25 Aug 2025

Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation

Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation

C. L. Philip Chen

135

0

0

22 Aug 2025

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning

FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning

159

0

0

20 Aug 2025

Communication-Efficient Federated Learning with Adaptive Number of Participants

Communication-Efficient Federated Learning with Adaptive Number of Participants

Vladislav Dorofeev

Dmitry Bylinkin

Daniil Medyakov

Aleksandr Beznosikov

133

0

0

19 Aug 2025

Towards a Larger Model via One-Shot Federated Learning on Heterogeneous Client Models

Towards a Larger Model via One-Shot Federated Learning on Heterogeneous Client Models

123

0

0

19 Aug 2025

Federated Action Recognition for Smart Worker Assistance Using FastPose

Federated Action Recognition for Smart Worker Assistance Using FastPose

Martin Ruskowski

94

0

0

18 Aug 2025

Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning

Beyond Trade-offs: A Unified Framework for Privacy, Robustness, and Communication Efficiency in Federated Learning

Tayyebeh Jahani-Nezhad

148

0

0

18 Aug 2025

On Balancing Sparsity with Reliable Connectivity in Distributed Network Design with Random K-out Graphs

On Balancing Sparsity with Reliable Connectivity in Distributed Network Design with Random K-out Graphs

Eray Can Elumar

92

1

0

16 Aug 2025

Adversarial Robustness in Distributed Quantum Machine Learning

Adversarial Robustness in Distributed Quantum Machine Learning

Hans-Arno Jacobsen

139

0

0

16 Aug 2025

Fed-Meta-Align: A Similarity-Aware Aggregation and Personalization Pipeline for Federated TinyML on Heterogeneous Data

Fed-Meta-Align: A Similarity-Aware Aggregation and Personalization Pipeline for Federated TinyML on Heterogeneous Data

Hemanth Macharla

100

0

0

15 Aug 2025

SoK: Data Minimization in Machine Learning

SoK: Data Minimization in Machine Learning

Nikola Jovanović

Ferdinando Fioretto

Matthew Jagielski

153

0

0

14 Aug 2025

GNN-based Unified Deep Learning

GNN-based Unified Deep Learning

107

1

0

14 Aug 2025

BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models

BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models

233

0

0

11 Aug 2025

Benchmarking Federated Learning for Throughput Prediction in 5G Live Streaming Applications

Benchmarking Federated Learning for Throughput Prediction in 5G Live Streaming Applications

Sandip Chakraborty

Basabdatta Palit

116

1

0

11 Aug 2025

EFU: Enforcing Federated Unlearning via Functional Encryption

EFU: Enforcing Federated Unlearning via Functional Encryption

Samaneh Mohammadi

Vasileios Tsouvalas

Iraklis Symeonidis

Francesco Flammini

219

0

0

11 Aug 2025

Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets

Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets

Cem Ata Baykara

Saurav R. Pandey

Ali Burak Ünal

80

1

0

11 Aug 2025

Strategic Incentivization for Locally Differentially Private Federated Learning

Strategic Incentivization for Locally Differentially Private Federated Learning

Yashwant Krishna Pagoti

99

0

0

10 Aug 2025

Blockchain-Enabled Federated Learning

Blockchain-Enabled Federated Learning

Murtaza Rangwala

157

2

0

08 Aug 2025

FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective

FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective

126

0

0

07 Aug 2025

X-VFL: A New Vertical Federated Learning Framework with Cross Completion and Decision Subspace Alignment

X-VFL: A New Vertical Federated Learning Framework with Cross Completion and Decision Subspace Alignment

101

0

0

07 Aug 2025

HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation

HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation

92

0

0

07 Aug 2025

FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning

FLAT: Latent-Driven Arbitrary-Target Backdoor Attacks in Federated Learning

130

1

0

06 Aug 2025

SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios

SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios

125

0

0

06 Aug 2025

SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning

SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning

145

0

0

06 Aug 2025

Coward: Collision-based Watermark for Proactive Federated Backdoor Detection

Coward: Collision-based Watermark for Proactive Federated Backdoor Detection

158

1

0

04 Aug 2025

Asynchronous Federated Learning with non-convex client objective functions and heterogeneous dataset

Asynchronous Federated Learning with non-convex client objective functions and heterogeneous datasetIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025

Raffaele Iervolino

121

0

0

03 Aug 2025

FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework

FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework

Shangshang Yang

157

1

0

02 Aug 2025

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