Design-time decisions can often only cover certain scenarios and fail in efficiency when hard-to-predict system scenarios occur. This drives the development of run-time adaptive s...
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
Abstract— In many energy-rechargeable wireless sensor networks, sensor nodes must both sense data from the environment, and cooperatively forward sensed data to data sinks. Both ...
Chun Zhang, Jim Kurose, Yong Liu, Donald F. Towsle...
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
—The online detection of anomalies is a vital element of operations in data centers and in utility clouds like Amazon EC2. Given ever-increasing data center sizes coupled with th...