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Greetings and welcome to ApPLIED 2022 on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems. The ApPLIED workshop aims to bring designers and practitioners of distributed systems from both academia and industry together to share their points of view and experiences in designing and building distributed systems. Our goal is to make ApPLIED the premier forum for stimulating discussions in the intersection of the theory and the practice of distributed systems. We have attempted to keep its scope broad to encourage participation from both academia and industry. We are honored and delighted to have Ken Birman (Cornell, USA) and Roger Wattenhofer (ETH Zurich, Switzerland) as keynote speakers talking about 'Cascade: An Edge Computing Platform for Real-time Machine Intelligence', and respectively, 'Graph Neural Networks as Application of Distributed Algorithms'. The ApPLIED workshop has an exciting technical program with five invited papers, four accepted regular submissions, and one short research statement. Six regular papers and one short research statement were submitted. The acceptance rate of regular submissions was 66%. Every submission was reviewed by at least three reviewers. In the proceedings, the five invited papers appear before the five peer-reviewed papers. The short research statement appears last. ApPLIED 2022 is co-located with PODC 2022. Earlier editions of ApPLIED were collocated with PODC 2018, DISC 2019, and PODC 2021. More information can be found at tinyurl.com/ApPLIED2022.

Cloud computing. --- Distributed algorithms.

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Computer science. --- Compilers --- Distributed algorithms --- External interfaces for robotics

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Computer security --- Microgrids (Smart power grids) --- Distributed algorithms.

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Programming --- Parallel programming (Computer science) --- Programmation parallèle (Informatique) --- 681.3*D1 --- Computer programming --- Parallel processing (Electronic computers) --- Programming techniques--See also {681.3*E} --- 681.3*D1 Programming techniques--See also {681.3*E} --- Programmation parallèle (Informatique) --- Concurrent Programming --- Distributed Algorithms --- Distributed

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This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike. Focusing on the natures and functions of agents, communication networks and algorithms in the context of distributed optimization for networked control systems, this book introduces readers to the background of distributed optimization; recent developments in distributed algorithms for various types of underlying communication networks; the implementation of computation-efficient and communication-efficient strategies in the execution of distributed algorithms; and the frameworks of convergence analysis and performance evaluation. On this basis, the book then thoroughly studies 1) distributed constrained optimization and the random sleep scheme, from an agent perspective; 2) asynchronous broadcast-based algorithms, event-triggered communication, quantized communication, unbalanced directed networks, and time-varying networks, from a communication network perspective; and 3) accelerated algorithms and stochastic gradient algorithms, from an algorithm perspective. Finally, the applications of distributed optimization in large-scale statistical learning, wireless sensor networks, and for optimal energy management in smart grids are discussed.

Control engineering. --- Mathematical optimization. --- Computers. --- Control and Systems Theory. --- Optimization. --- Information Systems and Communication Service. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers --- Distributed algorithms. --- Parallel algorithms