Provisional Programme
Link: HERE!
Date: 6th October 2023
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14:00 -- 14:45 : Keynote
Keynotes: A Tootorial on FediverseLearning: Opportunities & Challenges - 14:45 -- 15:00 : Felinet: Accelerating Federated Learning Convergence in Heterogeneous Edge Networks
- 15:00 -- 15:30 : Break
- 15:30 -- 15:45 : Gradient Calibration for Federated Learning on Non-I.I.D. Data
- 15:45 -- 16:00 : FedCOM: Efficient Personalized Federated Learning by Finding Your Best Peers
- 16:00 -- 16:15 : Escaping Adversarial Attacks with Egyptian Mirrors
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16:15 -- 16:30 : Multi-mode Learning: Not One Learning Mode is Strictly Better than the Other
Additional Information
- Please refer to the Mobicom 2023 website for registration information
- Please kindly note that in-person attendance at this workshop is encourged, but remote participation can be made available upon request by the authors of accepted papers
- For authors who attend remotely: a 10 mins pre-recorded video for the talk and then have a 5 mins live Q&A over zoom