Issues

• ACCURACY about federated_main.py --model=cnn --dataset=cifar --gpu=0 --iid=1 --epochs=10

  AshwinRJ/Federated-Learning-PyTorch#51 · Filter by author Icecream102 opened on Apr 7, 2025
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• Some issues in federated_main.py

  AshwinRJ/Federated-Learning-PyTorch#44 · Filter by author yysxiaoyu opened on Jul 21, 2023

• Parallel computing support

  AshwinRJ/Federated-Learning-PyTorch#43 · Filter by author JackingChen opened on Apr 13, 2023
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• NameError: name 'global_model' is not defined

  AshwinRJ/Federated-Learning-PyTorch#42 · Filter by author YIYIcccc opened on Mar 31, 2023
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• copy.deepcopy(model), why?

  AshwinRJ/Federated-Learning-PyTorch#41 · Filter by author Turningl opened on Mar 25, 2023
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• federated_main.py not working

  AshwinRJ/Federated-Learning-PyTorch#39 · Filter by author 2ch42 opened on Dec 2, 2022
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• New dataset app

  AshwinRJ/Federated-Learning-PyTorch#38 · Filter by author beyzaksit opened on Jul 16, 2022
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• problem when i'm trying to use the --unequal=1 case

  AshwinRJ/Federated-Learning-PyTorch#37 · Filter by author PeriklisTheodoropoulos opened on Jul 12, 2022
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• there is something wrong in federated_main.py

  AshwinRJ/Federated-Learning-PyTorch#35 · Filter by author Mr-lq7 opened on Jun 7, 2022
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• How to realize communication and "federated"?

  AshwinRJ/Federated-Learning-PyTorch#34 · Filter by author chyo0103 opened on Feb 27, 2022
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• Regarding attribute errors during the federated learning both in equal and unequal cases

  AshwinRJ/Federated-Learning-PyTorch#33 · Filter by author parjanay opened on Feb 8, 2022
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• Why is so low accuracy in using CIFAR dataset?

  AshwinRJ/Federated-Learning-PyTorch#31 · Filter by author FeiH36 opened on Sep 3, 2021
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• A Small Issue with the MLP Model

  AshwinRJ/Federated-Learning-PyTorch#30 · Filter by author mahf93 opened on Jun 10, 2021
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• Loss: nan WARNING:root:NaN or Inf found in input tensor. WARNING:root:NaN or Inf found in input tensor.

  AshwinRJ/Federated-Learning-PyTorch#29 · Filter by author TatShri opened on Jun 7, 2021
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• RuntimeError: Invalid device string: '0'

  AshwinRJ/Federated-Learning-PyTorch#28 · Filter by author TatShri opened on Jun 7, 2021
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• about the average_weights function

  AshwinRJ/Federated-Learning-PyTorch#27 · Filter by author haoyu0408 opened on May 23, 2021
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• What is difference between conventional way and federated way

  AshwinRJ/Federated-Learning-PyTorch#26 · Filter by author RohitSingh1369 opened on May 14, 2021
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• Question

  AshwinRJ/Federated-Learning-PyTorch#24 · Filter by author SamiurRahman1 opened on May 10, 2021

• Why the test accuracy of CIFAR is so low ？

  AshwinRJ/Federated-Learning-PyTorch#23 · Filter by author rambo-coder opened on May 6, 2021
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• AttributeError: 'Namespace' object has no attribute 'gpu_id'

  AshwinRJ/Federated-Learning-PyTorch#22 · Filter by author askia318 opened on Mar 22, 2021
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• Error calculating Test loss

  AshwinRJ/Federated-Learning-PyTorch#21 · Filter by author meryemJanatiIdrissi opened on Jan 5, 2021

• Bug with calculating the Training Loss

  AshwinRJ/Federated-Learning-PyTorch#19 · Filter by author sashkboos opened on Nov 18, 2020
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• A small issue in creating an MLP model

  AshwinRJ/Federated-Learning-PyTorch#14 · Filter by author mmalekzadeh opened on Sep 8, 2020

• When are you testing on all local models, why is it being called train accuracy and train loss?

  AshwinRJ/Federated-Learning-PyTorch#13 · Filter by author harora opened on Aug 26, 2020

• Whether support multi - machine training

  AshwinRJ/Federated-Learning-PyTorch#11 · Filter by author maoweinuaa opened on Jun 16, 2020
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