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Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph

https://doi.org/10.1145/3591354
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What this work says

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

inferredcites →https://doi.org/10.1002/j.1538-7305.1949.tb00928.xopenalex-snapshot
Communication Theory of Secrecy Systems*
inferredcites →https://doi.org/10.1007/978-3-319-12229-8openalex-snapshot
Homomorphic Encryption and Applications
inferredcites →https://doi.org/10.1007/978-3-642-29011-4_29openalex-snapshot
Multiparty Computation with Low Communication, Computation and Interaction via Threshold FHE
inferredcites →https://doi.org/10.1007/s00145-023-09452-8openalex-snapshot
An Efficient Threshold Access-Structure for RLWE-Based Multiparty Homomorphic Encryption
inferredcites →https://doi.org/10.1007/s41666-020-00082-4openalex-snapshot
Federated Learning for Healthcare Informatics
inferredcites →https://doi.org/10.1016/j.arcontrol.2019.04.010openalex-snapshot
A control-theoretic perspective on cyber-physical privacy: Where data privacy meets dynamic systems
inferredcites →https://doi.org/10.1016/j.automatica.2017.03.016openalex-snapshot
Differentially private average consensus: Obstructions, trade-offs, and optimal algorithm design
inferredcites →https://doi.org/10.1016/j.automatica.2018.07.005openalex-snapshot
Privacy preserving distributed optimization using homomorphic encryption
inferredcites →https://doi.org/10.1016/j.jpdc.2006.08.010openalex-snapshot
Distributed average consensus with least-mean-square deviation
inferredcites →https://doi.org/10.1016/j.neucom.2015.08.104openalex-snapshot
Auto-encoder based dimensionality reduction
inferredcites →https://doi.org/10.1017/cbo9780511721656openalex-snapshot
Foundations of Cryptography
inferredcites →https://doi.org/10.1109/access.2021.3086529openalex-snapshot
Defending Deep Neural Networks Against Backdoor Attack by Using De-Trigger Autoencoder
inferredcites →https://doi.org/10.1109/cdc.2015.7403296openalex-snapshot
Cyber-security enhancement of networked control systems using homomorphic encryption
inferredcites →https://doi.org/10.1109/cdc.2016.7799042openalex-snapshot
Privacy-aware quadratic optimization using partially homomorphic encryption
inferredcites →https://doi.org/10.1109/cdc.2018.8619133openalex-snapshot
Privacy-Preserving Distributed Learning via Obfuscated Stochastic Gradients
inferredcites →https://doi.org/10.1109/icpads51040.2020.00083openalex-snapshot
Proactive Content Caching for Internet-of-Vehicles based on Peer-to-Peer Federated Learning
inferredcites →https://doi.org/10.1109/icra.2013.6630952openalex-snapshot
Feature-based map merging with dynamic consensus on information increments
inferredcites →https://doi.org/10.1109/isit.2014.6875258openalex-snapshot
The optimal mechanism in differential privacy
inferredcites →https://doi.org/10.1109/jiot.2018.2834544openalex-snapshot
Distributed Privacy-Preserving Data Aggregation Against Dishonest Nodes in Network Systems
inferredcites →https://doi.org/10.1109/jiot.2020.2964162openalex-snapshot
Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks
inferredcites →https://doi.org/10.1109/mcom.001.1900461openalex-snapshot
Federated Learning for Wireless Communications: Motivation, Opportunities, and Challenges
inferredcites →https://doi.org/10.1109/mcs.2019.2900783openalex-snapshot
Tutorial on Dynamic Average Consensus: The Problem, Its Applications, and the Algorithms
inferredcites →https://doi.org/10.1109/msp.2012.2211477openalex-snapshot
The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]
inferredcites →https://doi.org/10.1109/msp.2012.2219653openalex-snapshot
Encrypted signal processing for privacy protection: Conveying the utility of homomorphic encryption and multiparty computation
inferredcites →https://doi.org/10.1109/mwc.2010.5601955openalex-snapshot
Location privacy in urban sensing networks: research challenges and directions [Security and Privacy in Emerging Wireless Networks
inferredcites →https://doi.org/10.1109/robot.1985openalex-snapshot
Proceedings. 1985 IEEE International Conference on Robotics and Automation
inferredcites →https://doi.org/10.1109/smartcomp.2014.7043849openalex-snapshot
Facial expression recognition and generation using sparse autoencoder
inferredcites →https://doi.org/10.1109/smartgridcomm.2017.8340671openalex-snapshot
A power line communication topology module for ns-3 and DCE
inferredcites →https://doi.org/10.1109/sp.2019.00065openalex-snapshot
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
inferredcites →https://doi.org/10.1109/tac.2016.2564339openalex-snapshot
Privacy Preserving Average Consensus
inferredcites →https://doi.org/10.1109/tac.2019.2890887openalex-snapshot
Secure and Privacy-Preserving Consensus
inferredcites →https://doi.org/10.1109/tac.2019.2902731openalex-snapshot
Privacy-Preserving Average Consensus via State Decomposition
inferredcites →https://doi.org/10.1109/tcns.2015.2399191openalex-snapshot
Distributed Generator Coordination for Initialization and Anytime Optimization in Economic Dispatch
inferredcites →https://doi.org/10.1109/tits.2020.3017474openalex-snapshot
Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning
inferredcites →https://doi.org/10.1109/tpds.2022.3202887openalex-snapshot
A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee
inferredcites →https://doi.org/10.1109/tsg.2015.2412091openalex-snapshot
A Privacy-Preserving Scheme for Incentive-Based Demand Response in the Smart Grid
inferredcites →https://doi.org/10.1109/tsp.2018.2872817openalex-snapshot
Privacy-Preserving Consensus-Based Energy Management in Smart Grids
inferredcites →https://doi.org/10.1109/tsp.2020.3006760openalex-snapshot
Differential Private Noise Adding Mechanism and Its Application on Consensus Algorithm
inferredcites →https://doi.org/10.1137/060678324openalex-snapshot
Convergence Speed in Distributed Consensus and Averaging
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/2381966openalex-snapshot
Proceedings of the 2012 ACM workshop on Privacy in the electronic society
inferredcites →https://doi.org/10.1145/2810103.2813677openalex-snapshot
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
inferredcites →https://doi.org/10.1145/3097983.3098052openalex-snapshot
Anomaly Detection with Robust Deep Autoencoders
inferredcites →https://doi.org/10.1145/3319535.3363207openalex-snapshot
Efficient Multi-Key Homomorphic Encryption with Packed Ciphertexts with Application to Oblivious Neural Network Inference
inferredcites →https://doi.org/10.1145/3548606.3560557openalex-snapshot
Eluding Secure Aggregation in Federated Learning via Model Inconsistency
inferredcites →https://doi.org/10.1145/359168.359176openalex-snapshot
How to share a secret
inferredcites →https://doi.org/10.1201/b18867openalex-snapshot
Cloud Computing Networking
inferredcites →https://doi.org/10.14722/ndss.2021.24119openalex-snapshot
POSEIDON: Privacy-Preserving Federated Neural Network Learning
inferredcites →https://doi.org/10.23919/acc.2018.8430960openalex-snapshot
Private Optimization on Networks
inferredcites →https://doi.org/10.23919/ecc.2013.6669251openalex-snapshot
Privacy-preserving asymptotic average consensus
inferredcites →https://doi.org/10.2478/popets-2021-0030openalex-snapshot
Scalable Privacy-Preserving Distributed Learning
inferredcites →https://doi.org/10.3390/en10091303openalex-snapshot
Recent Trends in Load Forecasting Technology for the Operation Optimization of Distributed Energy System
inferredcites →https://doi.org/10.3390/su12020492openalex-snapshot
Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-89813-6_13openalex-snapshot
Peer-to-Peer Collaborative Learning Platform for Privacy-Preserved Federated Learning in Industrial Internet
inferred← citeshttps://doi.org/10.1016/j.comcom.2026.108666openalex-snapshot
Communication efficiency in Decentralized Federated Learning: A taxonomy of core components and optimization techniques
inferred← citeshttps://doi.org/10.1016/j.jisa.2026.104611openalex-snapshot
DAP-FedGL: A decentralized adaptive protection framework for client-level privacy in federated graph learning
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112067openalex-snapshot
Coupled tensor train decomposition in federated learning
inferred← citeshttps://doi.org/10.1017/s1446181126100303openalex-snapshot
DISTRIBUTED INTERVAL CONSENSUS IN NETWORKED SYSTEMS WITH PRIVACY PRESERVATION
inferred← citeshttps://doi.org/10.1049/ein2.12026openalex-snapshot
Blockchain for Peer‐to‐Peer Energy Trading in Electric Vehicle Charging Stations With Constrained Power Distribution and Urban Transportation Networks
inferred← citeshttps://doi.org/10.1049/rpg2.70215openalex-snapshot
Decentralised Generation Command Dispatch in Virtual Power Plant Considering Acceleration and Communication Noise
inferred← citeshttps://doi.org/10.1109/acait67930.2025.11522631openalex-snapshot
A Survey of Federated Graph Learning in Real-World Applications
inferred← citeshttps://doi.org/10.1109/comst.2023.3264649openalex-snapshot
A Survey on Over-the-Air Computation
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447047openalex-snapshot
On the Tradeoff Between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
inferred← citeshttps://doi.org/10.1109/iccvw60793.2023.00156openalex-snapshot
SCoTTi: Save Computation at Training Time with an adaptive framework
inferred← citeshttps://doi.org/10.1109/icdt61202.2024.10489417openalex-snapshot
Federated Learning in the Era of Privacy Preservation: A Comprehensive Review and Future Directions
inferred← citeshttps://doi.org/10.1109/icmc60390.2024.00029openalex-snapshot
Decentralized Federated Learning for Meta Computing
inferred← citeshttps://doi.org/10.1109/ieeeconf59524.2023.10476874openalex-snapshot
Privacy-Preserving Clustered Peer-to-Peer Learning
inferred← citeshttps://doi.org/10.1109/jas.2024.124869openalex-snapshot
Privacy Distributed Constrained Optimization Over Time-Varying Unbalanced Networks and Its Application in Federated Learning
inferred← citeshttps://doi.org/10.1109/jiot.2026.3690582openalex-snapshot
Consensus-Based Fully Decentralized and Privacy-Preserving Federated Learning in Dynamic AAV Networks Without Key Distribution Center
inferred← citeshttps://doi.org/10.1109/satml64287.2025.00045openalex-snapshot
Fair Decentralized Learning
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3642292openalex-snapshot
Toward Understanding the Tradeoff Between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
inferred← citeshttps://doi.org/10.1109/tifs.2024.3420126openalex-snapshot
A Robust Privacy-Preserving Federated Learning Model Against Model Poisoning Attacks
inferred← citeshttps://doi.org/10.1109/tmc.2025.3611963openalex-snapshot
Bi-CrowdCache: A Decentralized Game-Theoretic Model for Edge Content Sharing Over Time-Varying Communication Networks
inferred← citeshttps://doi.org/10.1109/tmc.2025.3638598openalex-snapshot
Decentralized Federated Learning Over Time-Varying and Heterogeneous Mobile Computing Networks
inferred← citeshttps://doi.org/10.1109/tpds.2026.3685244openalex-snapshot
Decentralized Federated Learning With Period Gradient Tracking Over Time-Varying Networks
inferred← citeshttps://doi.org/10.1109/tsp.2026.3695408openalex-snapshot
Privacy-Preserving Distributed Maximum Likelihood Estimation via State Decomposition
inferred← citeshttps://doi.org/10.1145/3678182openalex-snapshot
Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers
inferred← citeshttps://doi.org/10.1145/3785657openalex-snapshot
Decentralized Federated Learning with Non-IID Data: Challenges, Trends, and Future Opportunities
inferred← citeshttps://doi.org/10.1145/3799890openalex-snapshot
Swarm Learning: A Survey of Concepts, Applications, and Trends
inferred← citeshttps://doi.org/10.1360/ssi-2024-0330openalex-snapshot
Heterogeneous federated learning with client collaboration graphs
inferred← citeshttps://doi.org/10.23919/ccc63176.2024.10662194openalex-snapshot
Privacy-preserving decentralised federated learning for short-term load forecasting
inferred← citeshttps://doi.org/10.23919/ifipnetworking70592.2026.11579054openalex-snapshot
Towards Federated Learning at the Far Edge: From Static Topologies to Generalized Network Graphs
inferred← citeshttps://doi.org/10.3390/ai7070243openalex-snapshot
Peer-to-Peer Federated Learning: A Comprehensive Survey
inferred← citeshttps://doi.org/10.3390/cryptography9020041openalex-snapshot
Multiparty Homomorphic Encryption for IoV Based on Span Program and Conjugate Search Problem
inferred← citeshttps://doi.org/10.56553/popets-2025-0043openalex-snapshot
Noiseless Privacy-Preserving Decentralized Learning
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