RT @ppietzuch: Existing distributed #reinforcement learning (RL) systems lack abstractions to distribute algorithms flexibly. Check out @LSDSImperial's work on #MSRL, an RL system that supports distribution polices for partitioning computation using dataflow graphs. https://t.co/ZKLWh9sbm3
By LSDSImperial, 4 months 6 days ago
RT @SysML_ICL: ð¨ Announcing our exciting July Seminar line-up!
Follow the links for details.
ð 14/07: Davis Blalock will present his work "Multiplying Matrices Without Multiplying", ICML'21
(1/3) https://t.co/AHUmZOEnBQ
By LSDSImperial, 7 months 6 days ago
Please join us Thursday (9/6) at 2 pm BST for Girish Balakrishnan, IITM, talk "Succinct Data Structure for Path Graphs" https://t.co/C8y0UXkaoK
By LSDSImperial, 8 months 6 days ago
Please join us Thursday (26/5) at 2 pm BST for Chi Wang, Microsoft Research, talk "Chi Wang, Microsoft Research" https://t.co/Gv3QPXVhS4
By LSDSImperial, 8 months 2 weeks ago
Please join us Thursday (19/5) at 3:15pm BST for Peter Boncz, Vrije Universiteit Amsterdam, talk "FSST: fast random-access string compression" https://t.co/r9rOZZdxRT
By LSDSImperial, 8 months 3 weeks ago
Please join us Thursday (19/5) at 2pm BST for Heming Cui, University of Hong Kong, talk "Building Four-dimensional Parallel Training Systems for Large AI Models" https://t.co/321J27Pk07
By LSDSImperial, 8 months 3 weeks ago
Please join us Thursday (12/5) at 2pm BST for Luis Rodrigues, Universidade de Lisboa, talk "Kauri: BFT Consensus with Pipelined Tree-Based Dissemination and Aggregation" https://t.co/eBgnOWpxS8
By LSDSImperial, 9 months 4 days ago
Please join us Thursday (28/4) at 2pm GMT for Jiwon Seo, Hanyang University, talk "Out-Of-Order BackProp: An Effective Scheduling Technique for Deep Learning" https://t.co/CY4RPNEpQ8
By LSDSImperial, 9 months 2 weeks ago
RT @ppietzuch: Excited about OS kernels, hypervisors and low-level systems programming? Do you want to figure out how to make future cloud computing stacks more secure? At @LSDSImperial, we have fully-funded #PhD Studentships for international students. Apply here: https://t.co/zNZivRGn8X
By LSDSImperial, 10 months 1 week ago
Please join us Thursday (31/3) at 2pm GMT for Natacha Crooks, UC Berkeley, talk "Basil: Breaking up BFT with ACID transactions" https://t.co/K8Y2mlM51C
The goal of the LSDS group is to support the design and implementation of tomorrow's large-scale data-intensive systems. We investigate new abstractions and infrastructures for building scalable, robust and secure data-intensive applications.
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
Fan Mo
Imperial College London
Thursday, 9 February 2023 - 2:00pm, Imperial College London
Although user data are not collected at a centralized location in federated learning (FL), adversaries can still execute various types of privacy attacks to retrieve sensitive information from the FL...
Two PhD positions are available in the broad area of Computer Systems with focus on designing and building systems that support BigData and Data Science workloads on modern and future hardware platforms.
