Intelligent Intrusion Detection Based on Federated Learning for Edge-Assisted Internet of Things

Algorithm 2

FedACNN. Given K clients (indexed by k), B is the local minibatch size, E is the number of local epochs, R is the number of global rounds, C is the fraction of clients, and is the learning rate.

	procedure Server:
	initialize W0
	for each round t = 1, 2, … do
	m ← max (C·K, 1)
	St ← (random set of m Clients)
	for each Client k ∈ St in parallel do
	if t = 1 then
	Calculate the Client K importance degree following equations (3)–(6)
	else
	Calculate the Client importance degree following equations (3)–(6)
	Update parameter , .
	procedure Client Update (k, w)://Run on Client k
	B ← (Split local Client data into batches of size B)
	for each local epoch i from 1 to E do
	for batch b ∈ B do
	←  −  ∗ Ɩ (; b)
	return to Server