Chaoyang He
Chaoyang He
@rnjbdya Hi this is an env issue. Have you solved it yet? still need help?
@Nicole456 please double-check whether the code still has this issue. Do we need to merge this [551f551](https://github.com/royukira/FedML/commit/551f5512e6e73e12e97f7f6d4196c6dc0041bcb7)
@zhizhi-2 please try `pip install fedml==0.7.222` and check whether it works.
@bicbrv Hi thanks for your questions. We will release v0.8 by next Monday!
@bicbrv our latest progress is at: https://medium.com/@FedML/fedml-ai-platform-releases-the-worlds-federated-learning-open-platform-on-public-cloud-with-an-8024e68a70b6
we decided to fine-tune the APIs slightly to support diverse deep learning frameworks. so it takes more days.
monitor_service(queue): req_json = queue.get(block=False) def start_monitor(queue): writer = multiprocessing.Process(target=monitor_service, args=(queue,)) writer.start() job_queue = multiprocessing.Queue() job_queue.put(req_json) start_monitor(job_queue)
Server agent start server: 09:49:47 ~ 09:49:53, about 6 seconds，
Server: download_mnist -> load_synthetic_data: 09:51:28 ~ 09:51:43, about 15 seconds (MNIST.zip downloaded) load_synthetic_data -> load_partition_data_mnist: 09:51:43 ~ 09:52:09, about 26 seconds create_model -> connection_ready: 09:52:09 ~ 09:52:10, about 1 seconds...
@GuokaiLiu thanks for your PR. May I have your WeChat/Slack and have a discussion with you for more details?