RT @LeadersJunction: If you lack purpose, watch this till the end‼️‼️

The future is lean and near at the Edge. Will #EdgeAI democratize AI and bring large computation to the edge of the network - ondevice? . Yes, techniques such as #distillation are enabling this transition and this is the future of AI at the edge. #DeepSeek jumped in very timely.

For more details and submission guidelines, visit: #ICDCS2025 #EdgeAI #machinelearning #distributedsystems #federatedlearning #edgecomputing #generateAI #EdgeGenerativeAI #LLMS #SMLs @computingncl @EdgeAIHub.

𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀:.Paper Submission Deadline: 5 March 2025. Notification of Acceptance: 2 April 2025.Workshop Papers Camera-Ready: 16 April 2025 .Workshop Date:  20 July 2025.

communication efficiency, semantic communication, asynchronous federated learning training, and rethinking communication protocols for wireless federated learning.

This includes algorithms for distributed machine learning, adaptive techniques for changing network conditions, edge AI resilience, benchmarking generative models at the edge, downsizing Large Language Models (LLMs) into Small Language Models (SLMs) for improved computation and.

We invite you to submit your original work on topics related to federated learning, focusing on real-world challenges when federated learning is deployed in practical scenarios.

FedEdgeAI will take place in conjunction with the 45th IEEE International Conference on Distributed Computing Systems (#ICDCS2025) in Glasgow, Scotland, UK from 20-23 July 2025.

We are excited to announce our 𝟭𝘀𝘁 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗼𝗻 𝗙𝗲𝗱𝗲𝗿𝗮𝘁𝗲𝗱 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝗪𝗶𝗿𝗲𝗹𝗲𝘀𝘀 𝗘𝗱𝗴𝗲 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗙𝗲𝗱𝗘𝗱𝗴𝗲𝗔𝗜).

RT @IOTGarageNews: A few months back (on June 30th), we celebrated the winding down of EPSRC PETRAS Center with a regional Showcase and Net….

Preprint: .IEEE Xplore: .Source code:

Kudos to Di Wu for the hard work and resilience in getting it over the line! A really good publication to your credit. Congratulations to all the coauthors and the supervisory team.

Happy to share that our recent paper titled "EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning" has been published in the IEEE Transactions on Parallel and Distributed Systems.

RT @zistvan: Dear Systems-Research Twitter! We're organizing the @EuroSys_conf Shadow PC, and applications are still accepted until the 1st….

:P

RT @flwrlabs: 🏃🏼‍♀️Run Federated Learning on embedded devices w/ Flower! 🌼. 🫰🏼We have updated our much-loved embedded devices example. Get….

RT @jbhuang0604: A paper's impact on your career. A good reminder from Bill Freeman.

Please consider submitting your work to our workshop on "Metaverse-based Networking, Computing and Security (MetaNCS)", which will be held in conjunction with IEEE ICC 2024 at Denver, CO, USA in June 2024.!.

Hopes of new life for many ☺️.