{"id":857376,"date":"2022-07-05T09:34:54","date_gmt":"2022-07-05T16:34:54","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=857376"},"modified":"2023-07-25T10:25:55","modified_gmt":"2023-07-25T17:25:55","slug":"project-florida-federated-learning-made-easy","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/project-florida-federated-learning-made-easy\/","title":{"rendered":"Project Florida: Federated Learning made easy"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background bg-gray-200 has-background- card-background--full-bleed\">\n\t\t\t\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 align-self-center\">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 class=\"wp-block-heading\" id=\"project-florida\">Project Florida<\/h1>\n\n\n\n<p>Federated Learning made easy<\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<p>Cross-device Federated Learning solutions are notoriously challenging to ship- there are many moving parts that must work in concert, developers must refactor central training code to run on device, and deployment and experimentation are difficult.  The goal of Project Florida is to provide click-to-deploy orchestration infrastructure and device SDKs that provide the backbone of FL solutions, so that developers and ML engineers can focus on the training task and subsequent experimentation.  We are engaged with multiple partners at Microsoft and beyond to prototype real-world FL solutions based on Florida.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/06\/image-62bdbaad8a1a9-1024x702.png\" alt=\"Florida service architecture\" class=\"wp-image-857388\" width=\"978\" height=\"670\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/06\/image-62bdbaad8a1a9-1024x702.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/06\/image-62bdbaad8a1a9-300x206.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/06\/image-62bdbaad8a1a9-768x527.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/06\/image-62bdbaad8a1a9-240x165.png 240w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2022\/06\/image-62bdbaad8a1a9.png 1223w\" sizes=\"(max-width: 978px) 100vw, 978px\" \/><\/figure>\n\n\n\n\n\n<p><\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Federated Learning made easy Cross-device Federated Learning solutions are notoriously challenging to ship- there are many moving parts that must work in concert, developers must refactor central training code to run on device, and deployment and experimentation are difficult. The goal of Project Florida is to provide click-to-deploy orchestration infrastructure and device SDKs that provide [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-857376","msr-project","type-msr-project","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[957018],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"guest","display_name":"Jialei Chen","user_id":857427,"people_section":"Section name 0","alias":""},{"type":"user_nicename","display_name":"Hamed Khanpour","user_id":38055,"people_section":"Section name 0","alias":"hakhanpo"},{"type":"user_nicename","display_name":"Daniel Eduardo Madrigal Diaz","user_id":40480,"people_section":"Section name 0","alias":"danielmad"},{"type":"user_nicename","display_name":"Robert Sim","user_id":36650,"people_section":"Section name 0","alias":"rsim"}],"msr_research_lab":[199565],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/857376"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":3,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/857376\/revisions"}],"predecessor-version":[{"id":957024,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/857376\/revisions\/957024"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=857376"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=857376"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=857376"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=857376"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=857376"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}