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DTSTART;TZID=Asia/Kolkata:20210929T000000
DTEND;TZID=Asia/Kolkata:20220921T000000
DTSTAMP:20260428T025701
CREATED:20250526T064833Z
LAST-MODIFIED:20250526T064833Z
UID:141002-1632873600-1663718400@events.srmap.edu.in
SUMMARY:The Narasimhan Seshadri Theorem and Some of its Ramifications
DESCRIPTION:Abstract:The Narasimhan-Seshadri Theorem is one of the spectacular theorems from India in the past 50 years or so. The theorem is more than a deep result but is in a way a philosophy or correspondences and symmetries. The theorem has had an impact on several aspects of mathematics. The theorem has also led to developments along lines that are similar but by themselves are also deep and central. Since the talk is for a general audience\, I plan to give an overview of the theorem\, a few of its big impacts on topology and geometry\, and a few of its ramifications in terms of generalizations.
URL:https://events.srmap.edu.in/event/the-narasimhan-seshadri-theorem-and-some-of-its-ramifications/
CATEGORIES:Events
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20220511T000000
DTEND;TZID=Asia/Kolkata:20220921T000000
DTSTAMP:20260428T025701
CREATED:20250526T064832Z
LAST-MODIFIED:20250526T064832Z
UID:141001-1652227200-1663718400@events.srmap.edu.in
SUMMARY:Lie groups as a unifying theme in mathematics: from Algebra and Number theory to Geometry and Topology.
DESCRIPTION:Abstract:Groups are encountered early on in one’s education. Many groups that one learns already in undergraduate studies are in fact matrix groups with coefficients which can be numbers from finite fields to real and complex numbers or these days p-adic numbers. Such groups\, called finite groups of Lie type or real Lie groups or p-adic groups as the case may be\, have been playing a dominant role in many parts of mathematics. The lecture will be a gentle introduction to some of these topics.
URL:https://events.srmap.edu.in/event/lie-groups-as-a-unifying-theme-in-mathematics-from-algebra-and-number-theory-to-geometry-and-topology/
CATEGORIES:Events
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BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20220916T160000
DTEND;TZID=Asia/Kolkata:20220916T180000
DTSTAMP:20260428T025701
CREATED:20220914T044600Z
LAST-MODIFIED:20250806T124457Z
UID:141780-1663344000-1663351200@events.srmap.edu.in
SUMMARY:An introduction to federated learning
DESCRIPTION:The Department of Electronics and Communication Engineering is hosting a seminar on September 16\, 2022\, at 4.00 pm as part of the Guest Lecture Series. Dr Anurag Singh\, Associate Professor and Dean of Research and Consultancy\, NIT Delhi\, will deliver a talk on the topic “Federated Learning”. \nAbstract of the talk \nThe most crucial resource for any business\, individual\, or person in the world is data. Everyone\, whether an individual or an institution\, wants to prevent a data breach. High-quality data must be subjected to machine learning algorithms. The model is trained using traditional machine learning techniques\, which save data to one server. There is a chance that this method will expose personal information. A machine learning technique called federated learning (FL) enables machine learning models to train on various datasets located on various sites without sharing data. Without putting training data in a centralised location\, it enables the development of a common global model. Additionally\, it permits personal information to stay in local places\, lowering the risk. \nA new area of machine learning called federated learning already offers greater advantages than conventional machine learning techniques. \nData Security: Training data is kept locally on the devices\, negating the need for a data pool. \nData variety: Heterogeneous data since it incorporates information from various users. \nReal-time continuous learning: Client data is used to enhance models continuously. \nFederated Learning is applied in the field of IoT\, Healthcare\, smartphones\, Advertising\, Autonomous Vehicles etc. \nSpeaker’s Profile \nDr Anurag Singh is currently working as the Associate Professor and Dean of Research and Consultancy at NIT Delhi. He received his PhD from the Indian Institute of Technology Kanpur. His research areas are Network Theory\, Dynamics on/of Networks\, Opinion Dynamics\, Epidemic Modeling\, Intelligent transportation system etc. Dr Anurag Singh has teaching experience at both undergraduate and graduate levels. He has taught courses ranging from the introductory level to specialized courses in Computer Science and Engineering\, and Mathematics. Currently\, he is mentoring students at graduate and undergraduate levels at the National Institute of Technology Delhi\, India. In addition\, he has also been supervising PhD students. He has around 70 publications featured across various leading journals and three DST-funded projects to his credit.
URL:https://events.srmap.edu.in/event/an-introduction-to-federated-learning/
CATEGORIES:Departmental Events,ECE,Events
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