Amazon Technologies, Inc.

Zhen Zhang

Neha Rungta

Carsten Varming

Daniel George Peebles

Yida Wang

Mu Li

Shuai Zheng

George Karypis

Trishul Amit Madhukar Chilimbi

Justin Chiu

A resource set which includes multiple servers with a respective plurality of training computing devices is identified for training a machine learning model. The resource set is subdivided into partition groups, such that each partition group can store a respective replica of state information of the model. The model is trained using the partition groups. The training comprises a multi-stage gathering of a portion of the state information at training computing devices of a particular partition group. Different types of communication channels between training computing devices are used in respective stages of the gathering, including inter-server communication channels in one stage and an intra-server communication channel during another stage. A trained version of the model is stored.

Distributed training of machine learning models

Techniques are described for generating a specification of security-relevant behavior associated with web services of a cloud provider network. Source code or software development artifacts associated with an implementation of a web service is obtained, where the source code of software development artifacts include an implementation of a request handler for an action of the service. The request handler includes a request authorization component, e.g., which may involve interaction with an identity and access management service of the cloud provider network to authenticate and authorize requests and may further rely upon one or more authorization contexts included in the requests received by the request handler. An interprocedural data flow analyzer is used to analyze a model representation of the bytecode to identify and generate specifications of authorization patterns associated with the request handler.

Analyzing web service frontends to extract security-relevant behavior information

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Seattle, WA, United States of America

Zhen Zhang