Algorithm 1: AutoPro Job Distribution Algorithm

Input: FederatedQueue, Size of federated queue on cloud server.    PrimeServer, Physical address of each prime server              {PS1, PS2 …, PSN}. 3.   LocalServer, Physical address of each local server              {LS1, LS2, …, LSN}. 4.   AuthorizedServer, ∀ (PrimeServers ⋃ LocalServer). 5.   TestSet[], A group of recent remote health patients data sent by             authorized hospital’s server. 6.Output: ResultSet[], Prediction for the TestSet[] send by the                   AuthorizedServer. 7.Initialize (FederatedQueue, PS1, PS2, …, PSN, LS1, LS2, …, LSN,        TestSet[], Signal) = ∅ 8.Global ResultSet[]=∅ 9.Event = Value   # Assign 0 = Start of Week or 1 = Start of month. 10If (CurrentDate == Event) 11.   If Size(Signal) ==Size(PrimeServer) 12.      Print “All prime servers are in ready state” 13.   Else 14.      Print “Prime server is still under training”        # Wait until ∀ PrimeServer’s are trained. 15.      For ∀ PrimeServer 16.     Signal + = RPC (Train PrimeServer)           # Training with updated data. 17.TestSet[]=JobRequest(AuthorizedServers) 18.If(TestSet[]!=NULL) 19.  If(∀ PrimeServerQueue!=FULL) 20.    If TestSet[] ϵ PrimeServer 21.      ResultSet[] = $\sum _0^{N-1}PrimeServer.FHE\left(TestSet\left[\right]\right)$ 22.        ResultSet[] += ${PrimeServer}_i.Result$ 23.    Else 24.         Wait(QueueAvailability) 25.         ResultSet[] = $\sum _0^{N}PrimeServer.FHE\left(TestSet\left[\right]\right)$ 26.  Else 27.    Print “Request in wait queue of the cloud server” 28.Return ResultSet[]