GitHub - alexandriapawlik/federated: a Federated Averaging model utilizing TensorFlow Federated to investigate the effects of data partitioning on Federated Learning

alexandriapawlik / federated Public

a Federated Averaging model utilizing TensorFlow Federated to investigate the effects of data partitioning on Federated Learning

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Name		Name	Last commit message	Last commit date
Latest commit History 154 Commits
__pycache__		__pycache__
archive		archive
counts		counts
info		info
results		results
1_each_client_partially_iid.py		1_each_client_partially_iid.py
2_some_clients_iid.py		2_some_clients_iid.py
3_shard.py		3_shard.py
4_iid.py		4_iid.py
README.pdf		README.pdf
R_1_each_client_partially_iid.py		R_1_each_client_partially_iid.py
R_partitioner.py		R_partitioner.py
R_tff_main.py		R_tff_main.py
config.JSON		config.JSON
partitioner.py		partitioner.py
test_tff.sh		test_tff.sh
tff_main.py		tff_main.py