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I used FedML-Server/client_simulator/mobile_client_simulator.py to ran two cllients ,
and used FedML-Server/executor/app.py to ran a server on the same PC.
Even I set the argument "comm_round" to 250, but the learning will be stuck at round 200.
But if I set the "comm_round" to 50 , the learning will be finished at round 50.
Picture:
(Client)
(Server)
The text was updated successfully, but these errors were encountered:
Please run server_start.sh under FedML-Server/executor with --comm_round set as 250 first. This step calls the preprocessor to produce datasets for 250 rounds of iteration.
Please run server_start.sh under FedML-Server/executor with --comm_round set as 250 first. This step calls the preprocessor to produce datasets for 250 rounds of iteration.
I used
FedML-Server/client_simulator/mobile_client_simulator.py
to ran two cllients ,and used
FedML-Server/executor/app.py
to ran a server on the same PC.Even I set the argument "comm_round" to 250, but the learning will be stuck at round 200.
But if I set the "comm_round" to 50 , the learning will be finished at round 50.
Picture:
(Client)
(Server)
The text was updated successfully, but these errors were encountered: