fedrepo's People
Forkers
nju-tjl yinchuanll tenderzada drizzlingg nclphd jichengyuan changsenxia galaxylzp yangxu0 evoecho baiyeeqg mariana2000 jimmyc96 wsgan001 simon007-heiyewuxing hariy-v makhanov-nu sunyulin950824 zhao-yian bowenzhang-github dreamchao syq1175554320 qqoneone xtlyu shuchunxu vmromero-ubi tam-jqk turingsu zhzxlcc chandler-he sameer1606 yaoxianze wesley273 rn7s2fedrepo's Issues
Abour dataset FaMnist
- And after I download the train.pkl, there is a error:
ValueError: need at least one array to concatenate
报错了
fedprox
I don't find an implementation for fedprox in the directory of `algorithms/'.
How to get the performance due to parameter hypers['cnt']?
I only retrain FedAVG with default parameters (hypers['cnt']=2
, C100-100-20, VGG11). And the results are
Question 1: Since there are two results, the final result is the average value or the maximum value.
Question 2: The overall results are lower than those reported in the paper.
FL with PANs
When are you planning to publish the source code of "CVPR 2022 paper: Federated Learning with Position-Aware Neurons"?
关于FedRS
The dataset cannot be downloaded through the link given.
The dataset cannot be downloaded through the link given. It cannot be accessed.
Do you have plan to implement FedUV (ICML '21)?
Hi, thank you for sharing your papers' source code and implementations of several FL algorithms. I notice that you implement [FedAwS] Federated Learning with Only Positive Labels. ICML 2020. I find there is follow paper of FedAwS: Federated Learning of User Verification Models Without Sharing Embeddings (FedUV), which is published in ICML 2021. Do you have a plan to implement it?
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