Log data is a crucial resource for recording system events and states du...
Communication compression, a technique aiming to reduce the information
...
Click-through rate (CTR) prediction is a crucial task in the context of ...
Minwise hashing (MinHash) is a standard algorithm widely used in the
ind...
In this paper, we develop a series of differential privacy (DP) algorith...
To retrieve personalized campaigns and creatives while protecting user
p...
Consider two D-dimensional data vectors (e.g., embeddings): u, v. In man...
In federated learning (FL) systems, e.g., wireless networks, the
communi...
When designing clustering algorithms, the choice of initial centers is
c...
For a set of dependent random variables, without stationary or the stron...
Releasing all pairwise shortest path (APSP) distances between vertices o...
Click-Through Rate (CTR) prediction is a crucial component in the online...
Minwise hashing (MinHash) is a classical method for efficiently estimati...
In recent years, distributed optimization is proven to be an effective
a...
Traditional minwise hashing (MinHash) requires applying K independent
pe...
Minwise hashing (MinHash) is an important and practical algorithm for
ge...
The method of random projection (RP) is the standard technique in machin...
Services computing can offer a high-level abstraction to support diverse...
Feature selection is an important tool to deal with high dimensional dat...
In many artificial intelligence and computer vision systems, the same ob...
We consider a new variant of AMSGrad. AMSGrad RKK18 is a
popular adaptiv...