Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
In this paper we present new distributed protocols to color even rings and general bipartite graphs. Our motivation is to provide algorithmic explanation for human subject experime...
Amos Israeli, Mathew D. McCubbins, Ramamohan Patur...
This paper presents distributed bounded-error parameter and state estimation algorithms suited to measurement processing by a network of sensors. Contrary to centralized estimation...
—Ensuring spontaneous ad hoc interoperation in decentralized ubiquitous computing environments is challenging, because of heterogeneous resources and divergent policies. Centrali...
Venkatraman Ramakrishna, Peter L. Reiher, Leonard ...
Abstract— The design of efficient and scalable streaming Content Distribution Networks (CDNs) is an open problem of great economic interest. A key decision is the number of repl...
Sandjai Bhulai, Robert D. van der Mei, Mengxiao Wu