Balancing Data Privacy and 5G VNFs Security Monitoring: Federated Learning with CNN + BiLSTM + LSTM Model

Algorithm 1

Federated averaging learning procedure with TLS encryption.

	Input: number of rounds T, number of local epochs E, and number of participating clients N
	Output: final global model W after T rounds of federated learning
(1)	Initialize: Global model ;
(2)	for t = 1 to T do
(3)	for i = 1 to N do
(4)	Establish a secure TLS connection between the client and the server;
(5)	Retrieve local data and associated labels
(6)	Initialize: Local model parameters  = ;
(7)	for e = 1 to E do
(8)	Update using and through local training;
(9)	end
(10)	Securely send the updated local model to the server using the established TLS connection;
(11)	end
(12)	Aggregate and update the global model using the received local models;
(13)	Send the updated global model to all participating clients using the TLS connection;
(14)	end