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Trading Off Privacy, Utility, and Efficiency in Federated Learning

https://doi.org/10.1145/3595185
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-75765-6_28openalex-snapshot
Vertical Federated Learning for Higher-Order Factorization Machines
inferredcites →https://doi.org/10.1007/978-3-031-01585-4_5openalex-snapshot
Vertical Federated Learning
inferredcites →https://doi.org/10.1016/j.jnca.2018.05.003openalex-snapshot
Distributed learning of deep neural network over multiple agents
inferredcites →https://doi.org/10.1016/s0898-1221(96)90463-0openalex-snapshot
Advances in neural information processing systems 7
inferredcites →https://doi.org/10.1038/s41586-021-03583-3openalex-snapshot
Swarm Learning for decentralized and confidential clinical machine learning
inferredcites →https://doi.org/10.1038/s41746-020-00323-1openalex-snapshot
The future of digital health with federated learning
inferredcites →https://doi.org/10.1109/allerton.2012.6483382openalex-snapshot
Privacy against statistical inference
inferredcites →https://doi.org/10.1109/allerton.2013.6736724openalex-snapshot
Privacy-utility tradeoff under statistical uncertainty
inferredcites →https://doi.org/10.1109/allerton.2017.8262832openalex-snapshot
An estimation-theoretic view of privacy
inferredcites →https://doi.org/10.1109/comst.2020.2986024openalex-snapshot
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01607openalex-snapshot
See through Gradients: Image Batch Recovery via GradInversion
inferredcites →https://doi.org/10.1109/globecom42002.2020.9322132openalex-snapshot
2020 IEEE Global Communications Conference (GLOBECOM)
inferredcites →https://doi.org/10.1109/mark.1979.8817296openalex-snapshot
Safeguarding cryptographic keys
inferredcites →https://doi.org/10.1109/mis.2021.3082561openalex-snapshot
SecureBoost: A Lossless Federated Learning Framework
inferredcites →https://doi.org/10.1109/tbdata.2022.3188292openalex-snapshot
Privacy-Preserving Federated Adversarial Domain Adaptation Over Feature Groups for Interpretability
inferredcites →https://doi.org/10.1109/tbdata.2022.3192121openalex-snapshot
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning
inferredcites →https://doi.org/10.1109/tcomm.2021.3083316openalex-snapshot
Fast Federated Learning by Balancing Communication Trade-Offs
inferredcites →https://doi.org/10.1109/tifs.2013.2253320openalex-snapshot
Utility-Privacy Tradeoffs in Databases: An Information-Theoretic Approach
inferredcites →https://doi.org/10.1109/tifs.2017.2787987openalex-snapshot
Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
inferredcites →https://doi.org/10.1109/tifs.2019.2903658openalex-snapshot
Optimal Utility-Privacy Trade-Off With Total Variation Distance as a Privacy Measure
inferredcites →https://doi.org/10.1109/tit.2003.813506openalex-snapshot
A new metric for probability distributions
inferredcites →https://doi.org/10.1109/tit.2016.2584610openalex-snapshot
On the Relation Between Identifiability, Differential Privacy, and Mutual-Information Privacy
inferredcites →https://doi.org/10.1109/tit.2022.3218772openalex-snapshot
Breaking the Communication-Privacy-Accuracy Trilemma
inferredcites →https://doi.org/10.1145/2976749.2978318openalex-snapshot
Deep Learning with Differential Privacy
inferredcites →https://doi.org/10.1145/3133956.3133982openalex-snapshot
Practical Secure Aggregation for Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1145/3298981openalex-snapshot
Federated Machine Learning
inferredcites →https://doi.org/10.1145/3338501.3357370openalex-snapshot
A Hybrid Approach to Privacy-Preserving Federated Learning
inferredcites →https://doi.org/10.1145/3378679.3394533openalex-snapshot
LDP-Fed
inferredcites →https://doi.org/10.1145/3383313.3411528openalex-snapshot
A Federated Recommender System for Online Services
inferredcites →https://doi.org/10.1145/3394486.3403298openalex-snapshot
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data
inferredcites →https://doi.org/10.1145/3501813openalex-snapshot
Federated Learning for Healthcare: Systematic Review and Architecture Proposal
inferredcites →https://doi.org/10.1145/3563219openalex-snapshot
No Free Lunch Theorem for Security and Utility in Federated Learning
inferredcites →https://doi.org/10.1145/359168.359176openalex-snapshot
How to share a secret
inferredcites →https://doi.org/10.1561/0400000042openalex-snapshot
The Algorithmic Foundations of Differential Privacy
inferredcites →https://doi.org/10.1561/2200000083openalex-snapshot
Advances and Open Problems in Federated Learning
inferredcites →https://doi.org/10.1631/fitee.1700813openalex-snapshot
Artificial intelligence and statistics
inferredcites →https://doi.org/10.3390/fi13040094openalex-snapshot
Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.1610.02527openalex-snapshot
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
inferredcites →https://doi.org/10.48550/arxiv.1610.05492openalex-snapshot
Federated Learning: Strategies for Improving Communication Efficiency
inferredcites →https://doi.org/10.48550/arxiv.1712.07557openalex-snapshot
Differentially Private Federated Learning: A Client Level Perspective
inferredcites →https://doi.org/10.48550/arxiv.1810.08313openalex-snapshot
Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD
inferredcites →https://doi.org/10.48550/arxiv.2001.02610openalex-snapshot
iDLG: Improved Deep Leakage from Gradients
inferredcites →https://doi.org/10.48550/arxiv.2007.02977openalex-snapshot
Sharing Models or Coresets: A Study based on Membership Inference Attack
inferredcites →https://doi.org/10.48550/arxiv.2109.13012openalex-snapshot
Federated Deep Learning with Bayesian Privacy

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10791-026-10272-0openalex-snapshot
A comprehensive survey on communication optimization and privacy preservation in federated learning
inferred← citeshttps://doi.org/10.1007/s13042-024-02234-zopenalex-snapshot
Comparative analysis of open-source federated learning frameworks - a literature-based survey and review
inferred← citeshttps://doi.org/10.1007/s44163-025-00266-0openalex-snapshot
Ethical challenges and solutions in AI-driven medical data management: a focus on distributed machine learning
inferred← citeshttps://doi.org/10.1016/j.egyai.2024.100452openalex-snapshot
Enhancing PV feed-in power forecasting through federated learning with differential privacy using LSTM and GRU
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103657openalex-snapshot
Distributed machine learning for next-generation communication networks: A survey on privacy, fairness, efficiency, and trade-offs
inferred← citeshttps://doi.org/10.1016/j.iot.2025.101730openalex-snapshot
Federated learning for sustainable intrusion detection systems: A review of green computing strategies and future directions
inferred← citeshttps://doi.org/10.1016/j.jpdc.2024.104918openalex-snapshot
Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics
inferred← citeshttps://doi.org/10.1038/s41598-024-84441-wopenalex-snapshot
Quantum machine learning for Lyapunov-stabilized computation offloading in next-generation MEC networks
inferred← citeshttps://doi.org/10.1038/s41598-025-06807-yopenalex-snapshot
Bank data protection and fraud identification based on improved adaptive federated learning and WGAN
inferred← citeshttps://doi.org/10.1038/s42256-026-01184-1openalex-snapshot
A federated graph learning method to realize multi-party collaboration for molecular discovery
inferred← citeshttps://doi.org/10.1063/5.0292103openalex-snapshot
Comprehensive review on federated learning with cryptographic protections
inferred← citeshttps://doi.org/10.1080/00207543.2025.2598025openalex-snapshot
Information sharing and confidentiality: a federated multi-agent reinforcement learning approach for supply chain coordination
inferred← citeshttps://doi.org/10.1109/access.2024.3410026openalex-snapshot
FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research
inferred← citeshttps://doi.org/10.1109/access.2024.3413069openalex-snapshot
A Multifaceted Survey on Federated Learning: Fundamentals, Paradigm Shifts, Practical Issues, Recent Developments, Partnerships, Trade-Offs, Trustworthiness, and Ways Forward
inferred← citeshttps://doi.org/10.1109/comst.2025.3557475openalex-snapshot
Federated Learning in IoT Environments: Examining the Three-Way See-Saw for Privacy, Model-Performance, and Network-Efficiency
inferred← citeshttps://doi.org/10.1109/cvprw63382.2024.00424openalex-snapshot
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer
inferred← citeshttps://doi.org/10.1109/icdcsw63273.2025.00103openalex-snapshot
Enhancing Federated Graph Learning with Adaptive Differential Privacy
inferred← citeshttps://doi.org/10.1109/icecet63943.2025.11472366openalex-snapshot
A Privacy-Aware Defense Strategy for Healthcare: Strengthening Federated Learning Against Adversarial Disruptions
inferred← citeshttps://doi.org/10.1109/icoict71118.2026.11664782openalex-snapshot
Federated Learning with Differential Privacy for Fraud Detection: Evaluating Performance Under IID and Non-IID Data Distributions
inferred← citeshttps://doi.org/10.1109/isdfs60797.2024.10527266openalex-snapshot
Evaluation of Privacy-Utility Tradeoff in Generative Adversarial Network Variants
inferred← citeshttps://doi.org/10.1109/jiot.2024.3370991openalex-snapshot
Joint Top-K Sparsification and Shuffle Model for Communication-Privacy-Accuracy Tradeoffs in Federated-Learning-Based IoV
inferred← citeshttps://doi.org/10.1109/scecs69812.2026.11566022openalex-snapshot
Accelerated Privelet: An End-to-End Optimization Approach of Wavelet-Based Differential Privacy for High-Dimensional Time-Series
inferred← citeshttps://doi.org/10.1109/tase.2026.3660098openalex-snapshot
Federated Function-on-function Regression With an Efficient Gradient Boosting Algorithm for Privacy-Preserving Telemedicine
inferred← citeshttps://doi.org/10.1109/tce.2024.3510694openalex-snapshot
Privacy-Preserving Federated Learning Based on Dataset Condensation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3630162openalex-snapshot
Federated Recommendation Model Integrating Social Relationships and Knowledge Graph
inferred← citeshttps://doi.org/10.1109/tkde.2024.3352628openalex-snapshot
Vertical Federated Learning: Concepts, Advances, and Challenges
inferred← citeshttps://doi.org/10.1109/tkde.2024.3363240openalex-snapshot
Federated Continual Learning via Knowledge Fusion: A Survey
inferred← citeshttps://doi.org/10.1109/tkde.2024.3382002openalex-snapshot
A Survey for Federated Learning Evaluations: Goals and Measures
inferred← citeshttps://doi.org/10.1109/tkde.2024.3430819openalex-snapshot
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching
inferred← citeshttps://doi.org/10.1109/tnse.2026.3665223openalex-snapshot
Beyond LDP-FL: Independent Uplink–Downlink Privacy Protection in Federated Learning
inferred← citeshttps://doi.org/10.1109/tpami.2026.3715766openalex-snapshot
FedAdOb: Privacy-Preserving Fed erated Deep Learning With Ad aptive Ob fuscation
inferred← citeshttps://doi.org/10.1109/wcnc57260.2024.10570990openalex-snapshot
A Blockchain-Based Trustworthy Federated Learning Privacy Protection Scheme
inferred← citeshttps://doi.org/10.1145/3637528.3671660openalex-snapshot
HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
inferred← citeshttps://doi.org/10.1145/3652037.3663906openalex-snapshot
Client Selection and Resource Allocation via Graph Neural Networks for Efficient Federated Learning in Healthcare Environments
inferred← citeshttps://doi.org/10.1145/3652612openalex-snapshot
A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning
inferred← citeshttps://doi.org/10.1145/3656049openalex-snapshot
A Game-theoretic Framework for Privacy-preserving Federated Learning
inferred← citeshttps://doi.org/10.1145/3701039openalex-snapshot
Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework
inferred← citeshttps://doi.org/10.1145/3720539openalex-snapshot
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
inferred← citeshttps://doi.org/10.1145/3777577.3777613openalex-snapshot
Research on an Ophthalmic Disease Auxiliary Diagnosis Strategy Based on Heterogeneous Federated Learning
inferred← citeshttps://doi.org/10.1145/3797882openalex-snapshot
Leveraging Federated Self-Supervised Approach for Stress Recognition to Mitigate Label Leakage
inferred← citeshttps://doi.org/10.1145/3803794openalex-snapshot
Towards Evolutionary Differential Privacy in Cross-Platform Spatial Crowdsourcing
inferred← citeshttps://doi.org/10.1287/ijoc.2024.0554openalex-snapshot
Privacy Protection and Statistical Efficiency Trade-Off for Federated Learning
inferred← citeshttps://doi.org/10.1371/journal.pdig.0001581openalex-snapshot
Multi-scenario evaluation of federated learning for privacy-preserving malaria prediction with Ghana DHS data
inferred← citeshttps://doi.org/10.14569/ijacsa.2025.0160501openalex-snapshot
Enhancing Federated Learning Security with a Defense Framework Against Adversarial Attacks in Privacy-Sensitive Healthcare Applications
inferred← citeshttps://doi.org/10.24963/ijcai.2023/418openalex-snapshot
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation
inferred← citeshttps://doi.org/10.3390/electronics13061028openalex-snapshot
EPFed: Achieving Optimal Balance between Privacy and Efficiency in Federated Learning
inferred← citeshttps://doi.org/10.3390/electronics13214187openalex-snapshot
FL-APB: Balancing Privacy Protection and Performance Optimization for Adversarial Training in Federated Learning
inferred← citeshttps://doi.org/10.3390/en18174682openalex-snapshot
Federated Learning for Decentralized Electricity Market Optimization: A Review and Research Agenda
inferred← citeshttps://doi.org/10.3390/s24165142openalex-snapshot
Differentially Private Client Selection and Resource Allocation in Federated Learning for Medical Applications Using Graph Neural Networks
inferred← citeshttps://doi.org/10.58496//mjcs/2025/057openalex-snapshot
PRIFLEX: A Secure Federated Learning Framework for Evaluating Privacy Leakage and Defense in Cross-Modal Medical Data
inferred← citeshttps://doi.org/10.7759/s44389-025-00028-0openalex-snapshot
Evaluation Framework for Centralized and Decentralized Aggregation Algorithm in Federated Systems
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Evaluation Framework for Centralized and Decentralized Aggregation Algorithm in Federated Systems
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