Samsung electronics co., ltd. (20250013874). OPTIMAL SPLIT FEDERATED LEARNING IN WIRELESS NETWORK
OPTIMAL SPLIT FEDERATED LEARNING IN WIRELESS NETWORK
Organization Name
Inventor(s)
Jyotirmoy Karjee of Bengaluru IN
Praveen Naik S of Bangalore IN
Srinidhi Nagaraja Rao of Bangalore IN
Eric Ho Ching Yip of Suwon-si KR
Prasenjit Chakraborty of Bangalore IN
Ramesh Babu Venkat Dabbiru of Bangalore IN
OPTIMAL SPLIT FEDERATED LEARNING IN WIRELESS NETWORK
This abstract first appeared for US patent application 20250013874 titled 'OPTIMAL SPLIT FEDERATED LEARNING IN WIRELESS NETWORK
Original Abstract Submitted
systems and methods for optimal split federated learning (o-sfl) in a wireless network, including: receiving, by a federal device in the wireless network, local split points associated with a deep neural network (dnn) model over a time period from at least one client device of a plurality of client devices, wherein the plurality of client devices are connected to an edge device for training the dnn model using split federated learning (sfl); determining, by the federal device, an average of the local split points; determining, by the federal device, a global split point for partitioning the dnn model between the at least one client device and the edge device based on the average of the local split points; and applying, by the federal device, the determined global split point to train the dnn model.
