Run for standalone simulation (W/O online aggr)

Run for online aggregation. Any broadcast operation would be executed client-by-clien to avoid \ the existence of #clients me

Set up and instantiate the client/server.

Store all meta info in Redis.

To set up server or client for distributed mode.

To set up server and client for standalone mode.

Implement paper: > Barni, M., Kallas, K., & Tondi, B. (2019). > arXiv preprint arXiv:1902.11237 superimposed sinusoidal backdoor sign

Implement paper: > Barni, M., Kallas, K., & Tondi, B. (2019). > arXiv preprint arXiv:1902.11237 superimposed sinusoidal backdoor sign

To determine whether the algorithm should be terminated. Arguments: configs (list): each element is a trial configuration.

Trim rating data by parameter theta (per-user privacy) Arguments: data (csc_matrix): the dataset theta (int): The max

Implement paper: > WaNet -- Imperceptible Warping-based Backdoor Attack > Anh Nguyen, Anh Tran, ICLR 2021 > https://arxiv.org/abs/210

Implement paper: > WaNet -- Imperceptible Warping-based Backdoor Attack > Anh Nguyen, Anh Tran, ICLR 2021 > https://arxiv.org/abs/210

This function is borrowed from offsite-tuning: https://github.com/mit-han-lab/offsite-tuning/blob/main/offsite_tuning /utils.py

This function is borrowed from offsite-tuning: https://github.com/mit-han-lab/offsite-tuning/blob/main/offsite_tuning /utils.py

data for each client is a dictionary.

Arguments: kvs (dict): key is hyperparameter name in the form aaa.bb.cccc, and value is the choice. Returns:

Apply attack to ``StandaloneDataDict``.

r""" Returns: the average clustering coefficient for the raw G and split G

returns bag of words representation of given phrase using given vocab Arguments: line: string representing phrase to be parsed voc

A batch iteration Arguments: data(dict): data batch_size (int): the batch size shuffled (bool): whether to shuffle t

To broadcast the message to all clients or sampled clients

To broadcast the message to all clients or sampled clients

To broadcast the message to all clients or sampled clients Arguments: msg_type: 'model_para' or other user defined msg_t

To broadcast the message to all clients or sampled clients

r""" from TabularBenchmark to SurrogateBenchmark data format

Arguments: raw_data (Pyg.Data): raw graph model_para: model parameters embedding: output embeddings after

Check the completeness of Server and Client.

Check the completeness of Server and Client.

To check the message_buffer. When enough messages are receiving, some events (such as perform aggregation, evaluation, and move to

To check the message_buffer, when enough messages are receiving, trigger some events (such as perform aggregation, evaluation,

To check the message_buffer, when enough messages are receiving, trigger some events (such as perform aggregation, evaluation,

To check the message_buffer, when enough messages are receiving, trigger some events (such as perform aggregation, evaluation,

To save the results and save model after each evaluation

To save the results and save model after each evaluation

Check required arguments.

Cleans up the generated code. Borrow from: https://github.com/THUDM/CodeGeeX/blob/main/codegeex /benchmark/utils.py

Borrow from: https://github.com/FSoft-AI4Code/CodeCapybara

Clean the un-used secondary-level CfgNode, whose ``.use`` \ attribute is ``True``

Compress the raw res file to be written to disk.