FATE
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FederatedAI
An Industrial Grade Federated Learning Framework
**Describe the bug** There are two problems included: 1. job can be submitted successfully on party 9999 while other parties (like 10000) lack of route table infomation (dont have 9999)....
**Is your feature request related to a problem? Please describe.** A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] **Describe the solution you'd...
**Describe the bug** docs building failed Pygements introduce a breaking change from at version 2.12.0(ref: https://github.com/pygments/pygments/issues/2119),cascading causes our document automation compilation process to fail. Few requirements update could fix this...
when we run many jobs , the data under LMDB will expand too quickly and too large.  can we just give some configuration for us to decide, like...
Currently, fate-board and flow-client provide ways to stop/cancel/rerun a job. My question is: Is there any way to pause/resume a job? Or can I specify the component in a job...
**Describe the bug** Some components' s parameter class modify parameter like "None" to "[]" in \_\_init\_\_ function, but it may not work and can't pass the checking logic. For examples:...
**Describe the bug** RSA2000万求交，2048bit（1024bit正常），rollsite遇到错误，看日志应该是pull状态没有更新，具体如下： ``` [ERROR] [2022-06-08 15:57:05,239] [202206081003093650570] [13721:140648555665216] - [task_executor._run_] [line:243]: roll site pull waiting failed because there is no updated progress: rs_key=__rsk#202206081003093650570_intersection_0_0#hash.42634ddb254c23eb01e6.host_prvkey_ids#fit#host#60001#guest#60002, rs_header=, pull_status={0: BSS(tag='putBatch-__rsk#202206081003093650570_intersection_0_0#hash.42634ddb254c23eb01e6.host_prvkey_ids#fit#host#60001#guest#60002-0', is_finished=False, total_batches=-1,...
**Is your feature request related to a problem? Please describe.** In Fate's version
请问，参考如下模型跨集群迁移文档： 1.7.0：https://federatedai.github.io/FATE-Flow/1.7.0/zh/fate_flow_model_migration/ 1.8.0：https://federatedai.github.io/FATE-Flow/1.8.0/zh/fate_flow_model_migration/ 能将1.7.0版本fate训练的SBT模型，迁移至 1.8.0环境进行后续的预测和二次训练吗？
FATE1.6版本的v1操作，自定义全连接神经网络进行手写数字识别训练，在单独预测阶段出现错误，如下所示：  keras版本为2.2.5 TensorFlow版本为1.14.0 训练阶段的conf和dsl以及预测阶段的conf如下： **homo_dense_conf.json** ```python { "initiator": { "role": "guest", "party_id": 10000 }, "job_parameters": { "work_mode": 0 }, "role": { "guest": [ 10000 ], "host": [ 10000 ],...
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An Industrial Grade Federated Learning Framework