BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Turkey BEGIN:DAYLIGHT DTSTART:20380119T061407 TZOFFSETFROM:+0300 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=3TU;BYMONTH=1 TZNAME:+03 END:DAYLIGHT BEGIN:STANDARD DTSTART:20160907T000000 TZOFFSETFROM:+0300 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=1WE;BYMONTH=9 TZNAME:+03 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20190524T195632Z UID:BB8A00ED-A071-4FBB-AEA4-941882FF4887 DTSTART;TZID=Turkey:20190510T133000 DTEND;TZID=Turkey:20190510T153000 DESCRIPTION:Speaker: Dr. Derya Malak\, Massachusetts Institute of Technolog y and Northeastern University\n\nTopic: "Coordinating Caching and Computat ion in Networks"\n\nLocation: Middle East Technical University\, Ankara\, Turkey\n\nAbstract: This talk focuses on the central problem of coordinati ng computation and caching in networks\, using some recent results in stoc hastic geometry and information theory. Our goal is to provide a FAST\, RE LIABLE\, and CHEAP design for 5G mobile networks. The first part of the ta lk focuses on decentralized caching by utilizing the redundancy across mul tiple\, geo- dispersed\, and mobile sources of data. In order to leverage proximity-based communications such as peer-to-peer systems or device-to-d evice communications\, we exploited the spatial diversity of the content a nd the topology as a proxy for optimizing cache placement. We proposed nov el decentralized and spatial exclusion-based cache placement policies. The se policies promote diversity and reciprocation (FAST)\; provide guarantee s on the cache hit probability (RELIABLE)\; and offload traffic from conge sted base stations\, and are promising for proximity-based applications (C HEAP). The second part of the talk concerns with the limits of reliability with imperfect feedback when coding\, and development of scalable and rob ust routing solutions for connectivity in wireless mesh networks. This app roach utilizes coding for optimizing the tradeoff between in-order deliver y delay and throughput\, which is promising for computing systems such as the Internet of things\, and ultra-reliable and low-latency communications e.g. mission-critical communications\, and connected vehicles in 5G netwo rks (FAST). It also provides robustness and delay guarantees (RELIABLE)\; and has very low complexity in terms of coding overhead\, and is cost effe ctive via the use of multi-hop WiFi links (CHEAP). Finally\, this talk des cribes a new perspective on cloud/fog computing\, by coordinating caching and computation in order to handle the large volume of data with growing c omputational demand. Our goal is to devise coding techniques for functiona l compression\, and coordinating computation and caching in networks\, by employing the concepts of graph entropy and function surjectivity. These t echniques suit different applications such as caching\, classification\, f ederated learning\, quantization\, and compressed sensing. Our unified ins ights suggest to cache at the edge (FAST)\; distribute storage by exploiti ng geographic diversity and paths (RELIABLE)\; and distribute computation by making use of underlying redundancy both in data and functions\, in ord er to recover a sparse representation\, or labeling (CHEAP).\n\nBio: Derya Malak is a Postdoctoral Associate at the Massachusetts Institute of Techn ology and Northeastern University\, where she has been working with Prof. Muriel Médard and Prof. Edmund Yeh\, respectively. She received a Ph.D. i n Electrical and Computer Engineering at the University of Texas at Austin under the supervision of Prof. Jeffrey G. Andrews\, in August 2017\, wher e she was affiliated with the Wireless Networking & Communications Group ( WNCG). Previously\, she received an M.S. degree in Electrical and Electron ics Engineering at Koc University\, Istanbul\, Turkey\, in February 2013. She received a B.S. in Electrical and Electronics Engineering (with minor in Physics) at Middle East Technical University\, Ankara\, Turkey\, in Jun e 2010. Derya has held summer internships at Huawei Technologies\, Plano\, TX\, and Bell Laboratories\, Murray Hill\, NJ. She was awarded the Gradua te School fellowship by the University of Texas at Austin between 2013-201 7. She was selected to participate in the Rising Stars Workshop for women in EECS\, MIT\, in October 2018.\n\nSpeaker(s): Dr. Derya Malak\, \n\nAnka ra\, Ankara\, Türkiye LOCATION:Ankara\, Ankara\, Türkiye ORGANIZER:ozergul@metu.edu.tr SEQUENCE:0 SUMMARY:IEEE AP/MTT/EMC/ED TURKEY CHAPTER SEMINAR SERIES -- SEMINAR 51 URL;VALUE=URI:https://events.vtools.ieee.org/m/199494 X-ALT-DESC:Description: <br /><p>Speaker: Dr. Derya Malak\,&nbsp\;Massachus etts Institute of Technology and Northeastern University</p>\n<p>Topic: "C oordinating Caching and Computation in Networks"</p>\n<p>Location:&nbsp\;M iddle East Technical University\, Ankara\, Turkey</p>\n<p>Abstract:&nbsp\; This talk focuses on the central problem of coordinating computation and c aching in networks\, using some recent results in stochastic geometry and information theory. Our goal is to provide a FAST\, RELIABLE\, and CHEAP d esign for 5G mobile networks.&nbsp\; The first part of the talk focuses on decentralized caching by utilizing the redundancy across multiple\, geo- dispersed\, and mobile sources of data. In order to leverage proximity-bas ed communications such as peer-to-peer systems or device-to-device communi cations\, we exploited the spatial diversity of the content and the topolo gy as a proxy for optimizing cache placement. We proposed novel decentrali zed and spatial exclusion-based cache placement policies. These policies p romote diversity and reciprocation (FAST)\; provide guarantees on the cach e hit probability (RELIABLE)\; and offload traffic from congested base sta tions\, and are promising for proximity-based applications (CHEAP). The se cond part of the talk concerns with the limits of reliability with imperfe ct feedback when coding\, and development of scalable and robust routing s olutions for connectivity in wireless mesh networks. This approach utilize s coding for optimizing the tradeoff between in-order delivery delay and t hroughput\, which is promising for computing systems such as the Internet of things\, and ultra-reliable and low-latency communications e.g. mission -critical communications\, and connected vehicles in 5G networks (FAST). I t also provides robustness and delay guarantees (RELIABLE)\; and has very low complexity in terms of coding overhead\, and is cost effective via the use of multi-hop WiFi links (CHEAP). Finally\, this talk describes a new perspective on cloud/fog computing\, by coordinating caching and computati on in order to handle the large volume of data with growing computational demand. Our goal is to devise coding techniques for functional compression \, and coordinating computation and caching in networks\, by employing the concepts of graph entropy and function surjectivity. These techniques sui t different applications such as caching\, classification\, federated lear ning\, quantization\, and compressed sensing. Our unified insights suggest to cache at the edge (FAST)\; distribute storage by exploiting geographic diversity and paths (RELIABLE)\; and distribute computation by making use of underlying redundancy both in data and functions\, in order to recover a sparse representation\, or labeling (CHEAP).</p>\n<p>Bio:&nbsp\;Derya M alak is a Postdoctoral Associate at the Massachusetts Institute of Technol ogy and Northeastern University\, where she has been working with Prof. Mu riel M&eacute\;dard and Prof. Edmund Yeh\, respectively. She received a Ph .D. in Electrical and Computer Engineering at the University of Texas at A ustin under the supervision of Prof. Jeffrey G. Andrews\, in August 2017\, where she was affiliated with the Wireless Networking &amp\; Communicatio ns Group (WNCG). Previously\, she received an M.S. degree in Electrical an d Electronics Engineering at Koc University\, Istanbul\, Turkey\, in Febru ary 2013. She received a B.S. in Electrical and Electronics Engineering (w ith minor in Physics) at Middle East Technical University\, Ankara\, Turke y\, in June 2010. Derya has held summer internships at Huawei Technologies \, Plano\, TX\, and Bell Laboratories\, Murray Hill\, NJ. She was awarded the Graduate School fellowship by the University of Texas at Austin betwee n 2013-2017. She was selected to participate in the Rising Stars Workshop for women in EECS\, MIT\, in October 2018.</p> END:VEVENT END:VCALENDAR