Peer-to-Peer Federated Learning on Software-Defined Optical Access Network
AF Pakpahan, IS Hwang - IEEE Access, 2024 - ieeexplore.ieee.org
Recent advancements in AI have significantly propelled machine learning (ML) as a
cornerstone of modern technological infrastructure, especially in enhancing machine-to …
cornerstone of modern technological infrastructure, especially in enhancing machine-to …
Scalable federated learning over passive optical networks
J Li, L Chen, J Chen - 2021 Optical Fiber Communications …, 2021 - ieeexplore.ieee.org
Two-step aggregation is introduced to facilitate scalable federated learning (SFL) over
passive optical networks (PONs). Results reveal that the SFL keeps the required PON …
passive optical networks (PONs). Results reveal that the SFL keeps the required PON …
Bandwidth slicing to boost federated learning over passive optical networks
During federated learning (FL) process, each client needs to periodically upload local model
parameters and download global model parameters to/from the central server, thus requires …
parameters and download global model parameters to/from the central server, thus requires …
Federated learning over next-generation ethernet passive optical networks
Federated Learning (FL) is a distributed machine learning type of processing that preserves
the privacy of user data, sharing only the parameters of ML models with a common server …
the privacy of user data, sharing only the parameters of ML models with a common server …
Network for AI: Communication-Efficient Federated Learning with MST-based Scheduling and Multi-Aggregation over Optical Networks
Network for AI: Communication-Efficient Federated Learning with MST-based Scheduling and
Multi-Aggregation over Optical Networks Page 1 Network for AI: Communication-Efficient …
Multi-Aggregation over Optical Networks Page 1 Network for AI: Communication-Efficient …
From 5G to beyond: Passive optical network and multi-access edge computing integration for latency-sensitive applications
A recent paradigm shift in support of 5G-and-beyond (5GB), Human-to-Machine/Robot
(H2M/R), and the Tactile Internet has resulted in a surge of latency-sensitive applications …
(H2M/R), and the Tactile Internet has resulted in a surge of latency-sensitive applications …
High-precision edge-cloud collaboration with federated learning in edge optical network
C Li, H Yang, Q Yao, Z Sun, J Zhang - Optical Fiber Communication …, 2021 - opg.optica.org
Conference title, upper and lower case, bolded, 18 point type, centered Page 1 High-Precision
Edge-Cloud Collaboration with Federated Learning in Edge Optical Network Chao Li, Hui …
Edge-Cloud Collaboration with Federated Learning in Edge Optical Network Chao Li, Hui …
FedPeer: A Peer-to-Peer Learning Framework Using Federated Learning
The computing power of personal devices has increased in the recent past, and the large
amount of data is being generated by these devices. Owning to security concerns, research …
amount of data is being generated by these devices. Owning to security concerns, research …
Client scheduling and bandwidth slicing for multiple federated learning tasks over multiple passive optical networks
M Bi, C Yan, R Lin, Y Hong, J Li - Computer Networks, 2024 - Elsevier
Federated Learning (FL) has attracted extensive attention in facilitating emerging edge
intelligence applications for its inherent advantages of ensuring data security and privacy …
intelligence applications for its inherent advantages of ensuring data security and privacy …
A distributed federated transfer learning framework for edge optical network
A Distributed Federated Transfer Learning Framework for Edge Optical Network Page 1 S4C.4.pdf
Asia Communications and Photonics Conference 2020 © OSA 2020 A Distributed …
Asia Communications and Photonics Conference 2020 © OSA 2020 A Distributed …