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Shaoxiong Ji
Shaoxiong Ji

4 Followers

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Feb 26, 2021

When Federated Learning Meets Other Learning Algorithms: From Model Fusion to Federated X Learning

Federated learning is a new learning paradigm that decouples data collection from model training via multi-party computation and model aggregation. As a flexible learning setting, federated learning has the potential to integrate with other learning frameworks. We conduct a focused survey of federated learning in conjunction with other learning algorithms…

Federated Learning

2 min read

When Federated Learning Meets Other Learning Algorithms: From Model Fusion to Federated X Learning
When Federated Learning Meets Other Learning Algorithms: From Model Fusion to Federated X Learning
Federated Learning

2 min read


Oct 7, 2020

An Instruction to Writing Aalto BSc Thesis for Computer Science

This instruction briefs instruction about writing a literature review as your Bachelor thesis. Remember that to read a wide range of articles, have a summary, and keep writing and revising are the keys to a successful literature review. Please actively discuss with your advisor if you have any problems during…

4 min read

4 min read


May 25, 2020

Time Series Indexing By Dynamic Covering with Cross-Range Constraints

Time series indexing plays an important role in querying and pattern mining of big data. When indexing big time series datasets performing a direct linear scan of all the time series is generally computationally intractable and a more considered approach is needed. This usually involves mapping the data to a…

2 min read

Time Series Indexing By Dynamic Covering with Cross-Range Constraints
Time Series Indexing By Dynamic Covering with Cross-Range Constraints

2 min read


Jul 11, 2019

Attentive Federated Learning

Recently, federated learning has attracted great interest from the research community under the umbrella of distributed machine learning. It protects the privacy of data by learning a shared model using distributed training on local client devices without collecting the data on a central server. …

3 min read

Attentive Federated Learning
Attentive Federated Learning

3 min read

Shaoxiong Ji

Shaoxiong Ji

4 Followers

ML & NLP

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