Decentralized federated meta‐learning framework for few‐shot multitask learning
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22951
Abstract: Federated learning is increasingly attractive, however as the number of training samples on a single device is too small and the training tasks of the devices are different, it faces the few‐shot multitask learning problem.… read more here.
Keywords: multitask; shot multitask; decentralized federated; multitask learning ... See more keywords
A polynomial proxy model approach to verifiable decentralized federated learning
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-79798-x
Abstract: Decentralized Federated Learning improves data privacy and eliminates single points of failure by removing reliance on centralized storage and model aggregation in distributed computing systems. Ensuring the integrity of computations during local model training is… read more here.
Keywords: proxy model; polynomial proxy; integrity; model ... See more keywords
Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3141913
Abstract: Smart healthcare relies on artificial intelligence (AI) functions for learning and analysis of patient data. Since large and diverse datasets for training of Machine Learning (ML) models can rarely be found in individual medical centers,… read more here.
Keywords: federated learning; decentralized federated; tumor segmentation; healthcare ... See more keywords
Decentralized Federated Learning Over Slotted ALOHA Wireless Mesh Networking
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3246924
Abstract: Federated Learning (FL) presents a mechanism to allow decentralized training for machine learning (ML) models inherently enabling privacy preservation. The classical FL is implemented as a client-server system, which is known as Centralised Federated Learning… read more here.
Keywords: communication; federated learning; decentralized federated; mesh networking ... See more keywords
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2025.3629864
Abstract: Federated Learning (FL) emerges as a distributed machine learning approach that addresses privacy concerns by training AI models locally on devices. Decentralized Federated Learning (DFL) extends the FL paradigm by eliminating the central server, thereby… read more here.
Keywords: robust aggregation; byzantine; federated learning; byzantine robust ... See more keywords
Decentralized Federated Learning Algorithm Under Adversary Eavesdropping
Sign Up to like & getrecommendations! Published in 2025 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2024.125079
Abstract: In this paper, we study the decentralized federated learning problem, which involves the collaborative training of a global model among multiple devices while ensuring data privacy. In classical federated learning, the communication channel between the… read more here.
Keywords: adversary eavesdropping; privacy; learning algorithm; federated learning ... See more keywords
Decentralized Federated Learning on the Edge: From the Perspective of Quantization and Graphical Topology
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3400512
Abstract: Decentralized federated learning (DFL), a federated edge learning (FEEL) framework without a server, can avoid the huge communication overhead of the server and the single point of failure within FEEL. Since, there is no server,… read more here.
Keywords: edge; quantization; topology; communication ... See more keywords
DFedMQ: Decentralized Federated Learning Based on Dynamic Selection Collaboration and Topology Optimization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3584095
Abstract: Centralized federated learning is being widely researched and applied. However, centralized federated learning is prone to problems, such as single point of failure and privacy disclosure because it relies too much on the central server.… read more here.
Keywords: based dynamic; dynamic selection; federated learning; topology ... See more keywords
Semidefinite-Programming-Based Network Code for Ring-Topological Decentralized Federated Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2025.3604483
Abstract: This letter examines the decentralized stochastic gradient descent algorithm for federated learning over a wireless ring network, where each device connects to its $2n$ adjacent devices, termed n-tier coverage. Given this topology, the consensus coefficients,… read more here.
Keywords: semidefinite programming; based network; federated learning; topology ... See more keywords
Decentralized Federated Learning Over Random Access Channel
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2024.3458920
Abstract: In this letter, a Federated Learning (FL) system where a server does not exist is investigated. In the absence of the server, entire learning process including exchange of model updates is conducted in a distributed… read more here.
Keywords: learning random; federated learning; random access; communication ... See more keywords
Asynchronous Decentralized Federated Anomaly Detection for 6G Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2025.3538020
Abstract: The long-term vision for 6G security is to implement AI-assisted frameworks that achieve security automation without disrupting normal usage. Deep learning-based anomaly detection is one of the essential components in the envisioned 6G network security… read more here.
Keywords: detection; anomaly detection; asynchronous decentralized; detection networks ... See more keywords